{"id":"W7024414534","doi":"","title":"Repercussions of the COVID-19 Pandemic on the Well-being and Training of Medical Clerks: A Pan-Canadian Survey","year":2020,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Training (meteorology); Coronavirus disease 2019 (COVID-19); MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004813993,0.0003236789,0.0005704079,0.0001873586,0.0001443508,0.0000143069,0.001647642,0.001012814,0.1474841],"category_scores_gemma":[0.005831637,0.0002347495,0.0001579374,0.0002834779,0.0005765654,0.00002372567,0.0006932684,0.001431597,0.01341309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731523,"about_ca_system_score_gemma":0.0006365366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01424244,"about_ca_topic_score_gemma":0.04209686,"domain_scores_codex":[0.9971195,0.0006733459,0.0005621592,0.0008766782,0.0004131486,0.0003551058],"domain_scores_gemma":[0.9959591,0.001159206,0.000230933,0.002308529,0.00001999308,0.0003222417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001393937,0.0001899915,0.2200872,0.00138991,0.002476879,0.00009487115,0.01911898,0.003801738,0.001100525,0.02994843,0.6444045,0.07724752],"study_design_scores_gemma":[0.0009605529,0.000004192164,0.06392112,0.001158885,0.000191941,0.0001297354,0.0009339617,0.007706231,0.000686577,0.004611365,0.9187683,0.0009271368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01598112,0.0000138573,0.0006128955,0.00320362,0.000264643,0.0009077845,0.0001055335,0.00041787,0.9784927],"genre_scores_gemma":[0.917623,0.0007672193,0.00008908964,0.0008667163,0.00005206201,0.00007473701,0.00001435798,0.0002273465,0.08028544],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9016419,"threshold_uncertainty_score":0.9923218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861394604289121,"score_gpt":0.2566618120018219,"score_spread":0.2280478659589306,"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."}}