{"id":"W3215588473","doi":"10.2196/32818","title":"Social Determinants of Health Screening by Preclinical Medical Students During the COVID-19 Pandemic: Service-Based Learning Case Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Service (business); Medical education; Medicine; Virology; Business; Infectious disease (medical specialty); Internal medicine; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003552383,0.0007233731,0.0004789321,0.001147609,0.007758825,0.001624925,0.002021331,0.003214415,0.003047301],"category_scores_gemma":[0.007505056,0.0005225854,0.0006646797,0.0008742973,0.002352029,0.00119968,0.005302028,0.003549098,0.0005419282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005124148,"about_ca_system_score_gemma":0.00741139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076327,"about_ca_topic_score_gemma":0.0367456,"domain_scores_codex":[0.9967,0.001619107,0.00007535491,0.000201691,0.0002433029,0.001160565],"domain_scores_gemma":[0.9934019,0.001289207,0.0005193163,0.0002512534,0.000473869,0.004064368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006646756,0.03501167,0.4762346,0.0004493399,0.00007696064,0.1179218,0.2452358,0.001537822,0.00269071,0.003070379,0.01717925,0.09992705],"study_design_scores_gemma":[0.0004910386,0.02193289,0.2082103,0.0006656618,0.00008354642,0.06212553,0.6612925,0.009246352,0.004004241,0.003610031,0.02803297,0.0003050064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950392,0.00005841705,0.0004330221,0.002189489,0.00003177374,0.0002752318,0.00004052262,0.00001356425,0.001918863],"genre_scores_gemma":[0.995792,0.0001958042,0.001204427,0.001080689,0.00007251431,0.0002041464,0.00006648794,0.000009720377,0.00137411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076327,"threshold_uncertainty_score":0.03717852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373193543730374,"score_gpt":0.5479015328097625,"score_spread":0.4105821784367251,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}