{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003252628,0.00009138256,0.0001969804,0.00001645985,0.00007701653,0.000005211706,0.0003431389,0.0001602523,0.00118605],"category_scores_gemma":[0.0005668026,0.00004184133,0.0001290998,0.00009977203,0.000302,0.00001235233,0.00004955451,0.0005613769,0.0005088657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007968039,"about_ca_system_score_gemma":0.0004099383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006939099,"about_ca_topic_score_gemma":0.00006321519,"domain_scores_codex":[0.9979522,0.00106163,0.0003887358,0.0001837609,0.0002363292,0.000177384],"domain_scores_gemma":[0.9978986,0.001370393,0.0001035205,0.000509519,0.00001137403,0.0001065612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003095661,0.00360434,0.199755,0.00008758149,0.0002151326,0.00001524122,0.005751332,0.00001113115,0.00003239091,0.01651566,0.1093341,0.6615825],"study_design_scores_gemma":[0.006117325,0.005076631,0.8551475,0.0001845138,0.0001216883,0.00001866627,0.0004644221,0.00002057374,0.000209027,0.004691681,0.1277486,0.0001993814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568424,0.00008687037,0.000008197911,0.02334763,0.001618645,0.0004105488,0.000001522642,0.00002571282,0.01765846],"genre_scores_gemma":[0.9873389,0.00001666908,0.000006484249,0.00824613,0.0005359181,0.00003478544,0.000003927118,0.00001187656,0.003805297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6613831,"threshold_uncertainty_score":0.999727,"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."}}