{"id":"W3082332597","doi":"10.1101/2020.09.01.20186304","title":"Exploring the global impact of the COVID-19 pandemic on medical education: an international cross-sectional study of medical learners","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Pandemic; Milestone; Medical education; Coronavirus disease 2019 (COVID-19); Cross-sectional study; Location; Global health; Public health; Scope (computer science); Psychology; Medicine; Nursing; Geography; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002346799,0.0002524682,0.0003566925,0.00008425056,0.0001468649,0.00003077848,0.002248029,0.0003103327,0.003359901],"category_scores_gemma":[0.002147232,0.0001515286,0.0003012662,0.0002733774,0.000387047,0.00005925877,0.0008527429,0.001383095,0.00002357979],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344564,"about_ca_system_score_gemma":0.009207163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372438,"about_ca_topic_score_gemma":0.001722287,"domain_scores_codex":[0.9948872,0.0008748234,0.0008294717,0.0006593648,0.002497444,0.0002516556],"domain_scores_gemma":[0.9974831,0.000481528,0.000447238,0.0008535639,0.00009901616,0.0006354947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004447789,0.001648902,0.9868887,0.00007839359,0.000262941,0.000010041,0.005537045,0.000245738,0.000001549254,0.002000599,0.0003103526,0.002570944],"study_design_scores_gemma":[0.001049265,0.0004489179,0.9939033,0.00006008587,0.00002498519,0.00006057823,0.001882336,0.0001151051,8.980983e-7,0.000570834,0.001768673,0.0001150646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832838,0.00005339317,0.00005090477,0.005821676,0.008883044,0.0006845623,0.00009671348,0.0000491164,0.001076787],"genre_scores_gemma":[0.9954041,0.00008664794,0.000003014587,0.00307408,0.001082482,0.0002159829,0.00004637528,0.00001945428,0.00006786776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01212029,"threshold_uncertainty_score":0.9975511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3651659701238491,"score_gpt":0.5534322776520173,"score_spread":0.1882663075281682,"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."}}