{"id":"W4402383709","doi":"10.1186/s12909-024-05874-5","title":"Perspectives on virtual interviews and emerging technologies integration in family medicine residency programs: a cross-sectional survey study","year":2024,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Jewish General Hospital; McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Interview; Medical education; Cross-sectional study; Pandemic; Family medicine; Coronavirus disease 2019 (COVID-19); Psychology; Medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006349721,0.0001030101,0.0001530067,0.0003562235,0.0002004452,0.0001430074,0.0002934326,0.0001501963,0.0002050605],"category_scores_gemma":[0.01109514,0.00008075551,0.00002484361,0.0007517907,0.0007706978,0.0002363251,0.00006307405,0.0003794862,0.00001497725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424133,"about_ca_system_score_gemma":0.001423262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006286303,"about_ca_topic_score_gemma":0.02826708,"domain_scores_codex":[0.9974409,0.0005523067,0.0002919743,0.0003815263,0.001163069,0.000170163],"domain_scores_gemma":[0.9990342,0.0005480955,0.00004447141,0.0001174413,0.0001575842,0.00009819794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004672094,0.0004909963,0.6397912,0.00003424969,0.0000112011,0.000005153626,0.1375956,4.393627e-7,0.000003064587,0.0311765,0.001710242,0.1891346],"study_design_scores_gemma":[0.0001720212,0.0003046464,0.4427861,0.0004145771,0.000005310572,8.59811e-7,0.5543811,0.00005221317,3.94088e-7,0.001171828,0.0006529468,0.00005800644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987519,0.002798875,0.0003349183,0.003741148,0.001728314,0.0004751614,0.0000012276,0.0001855358,0.003215794],"genre_scores_gemma":[0.9979558,0.0008278318,0.00005305047,0.0001334333,0.0003507928,0.00007046228,0.00002065017,0.000005552125,0.0005824483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4167855,"threshold_uncertainty_score":0.9972348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144407114243649,"score_gpt":0.4458814663880645,"score_spread":0.3314407549636996,"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."}}