{"id":"W2059498989","doi":"10.1111/j.1743-498x.2004.00026.x","title":"Collateral damage: the effect of SARS on medical education","year":2004,"lang":"en","type":"article","venue":"The Clinical Teacher","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Collateral damage; Citation; Library science; Coronavirus disease 2019 (COVID-19); Collateral; Gerontology; History; Medicine; Psychology; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002175672,0.0001922612,0.0004133894,0.0008790784,0.001816278,0.0014045,0.0006069471,0.001260663,0.04645548],"category_scores_gemma":[0.03678716,0.0001600347,0.0006610353,0.0007571266,0.001024325,0.001374825,0.002077751,0.002173498,0.001921973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305246,"about_ca_system_score_gemma":0.0028654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084988,"about_ca_topic_score_gemma":0.02328038,"domain_scores_codex":[0.99788,0.00108898,0.0001388277,0.0001133533,0.0003280708,0.0004507963],"domain_scores_gemma":[0.9601647,0.01214939,0.01088752,0.00228616,0.002936669,0.01157557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009993093,0.008124792,0.8172399,0.0002451295,0.0002690285,0.002254985,0.002651874,0.0009608233,0.0006594907,0.004724285,0.00831446,0.1445622],"study_design_scores_gemma":[0.0002246147,0.003829479,0.9828838,0.0002086511,0.0001584743,0.0007812976,0.003409952,0.0005744348,0.0003477452,0.001487194,0.006069373,0.00002509348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964687,0.00135422,0.00009821537,0.004585858,0.0001154145,0.00005707693,0.0003180352,0.00002840207,0.02875562],"genre_scores_gemma":[0.9951478,0.0003511083,0.00005864739,0.0002153898,0.00008103596,0.00000759295,0.00008189398,0.000005315059,0.004051288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04645548,"threshold_uncertainty_score":0.155409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121945641654678,"score_gpt":0.5474990839439142,"score_spread":0.4255534422892362,"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."}}