Change in Watt’s Connectedness Scale (WCS), General Connectedness by Treatment Group. حسب Benjamin R. Lewis (22279166)

الموضوعات:

Development of a CRISPR/Cas-Based Detection Platform for Tracking Decreased Susceptibility to Cephalosporins in Neisseria gonorrheae حسب Ziyuan Zhao (2889005)

"…Developing efficient and accurate detection of resistant strains is urgently needed for their management and treatment. We have developed the Multiplex Integrated RPA-CRISPR/Cas12a detection Assay (MIRCA) for simultaneous detection of Neisseria gonorrheae (<i>Ng</i>) and mutations with decreased susceptibility to cephalosporins. …"

List of captured wild pollinator species. حسب Carmelo Gómez-Martínez (9384385)

"…We found that orchards surrounded by a greater proportion of natural landcover received more visits by wild bees and butterflies and fewer by honeybees. …"

Map of the 20 study orchards. حسب Carmelo Gómez-Martínez (9384385)

"…We found that orchards surrounded by a greater proportion of natural landcover received more visits by wild bees and butterflies and fewer by honeybees. …"

Pictures of carob tree flowers and orchard. حسب Carmelo Gómez-Martínez (9384385)

"…We found that orchards surrounded by a greater proportion of natural landcover received more visits by wild bees and butterflies and fewer by honeybees. …"

Results obtained from different regression models along with their respective AIC values. حسب Farzana Afroz (20700794)

الموضوعات:

Descriptive statistics for the number of under five children death per 100 mothers. حسب Farzana Afroz (20700794)

الموضوعات:

Histogram for the number of under five children death per mother. حسب Farzana Afroz (20700794)

الموضوعات:

PRISMA flow diagram of study selection. حسب Masoud Rahmati (16665456)

الموضوعات:

General characteristics of included studies. حسب Masoud Rahmati (16665456)

الموضوعات:

Characteristics of individual studies. حسب Masoud Rahmati (16665456)

الموضوعات:

Simulations show that microSLAM improves power and false positive rates. حسب Miriam Goldman (21433180)

Preference for the EIA – conjoint results. حسب Mehdi Mourali (10170245)

"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"

Marginal means – Pooled across scenarios. حسب Mehdi Mourali (10170245)

"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"

Sample attribute table. حسب Mehdi Mourali (10170245)

"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"

Subgroup analysis – Political affiliation. حسب Mehdi Mourali (10170245)

"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"

Sample scenario description. حسب Mehdi Mourali (10170245)

"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"

AMCEs – Pooled across scenarios. حسب Mehdi Mourali (10170245)

"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"

Methodological flowchart. حسب Mehdi Mourali (10170245)

"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"

Preference for the EIA vs. ETA across scenarios. حسب Mehdi Mourali (10170245)

"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"