{"id":"W2344010545","doi":"","title":"Personal Views: Learning from evidence based mistakes","year":2004,"lang":"en","type":"article","venue":"","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mistake; Harm; Adverse effect; Medicine; Subject (documents); Set (abstract data type); Internet privacy; Psychology; Computer science; Social psychology; Law; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2692001,0.001632115,0.004190543,0.007672966,0.004020975,0.02523509,0.007591238,0.02395724,0.05201392],"category_scores_gemma":[0.7750423,0.002413026,0.004163695,0.006598652,0.01536404,0.02950733,0.01700759,0.03952746,0.02633331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008481288,"about_ca_system_score_gemma":0.02654745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013973,"about_ca_topic_score_gemma":0.001655266,"domain_scores_codex":[0.6267608,0.2330975,0.03949466,0.01565797,0.07987472,0.005114286],"domain_scores_gemma":[0.1730053,0.5279657,0.03179452,0.06396054,0.1825454,0.02072852],"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":[0.0001094017,0.00005311925,0.0006753877,0.004649085,0.0005000703,0.0004357918,0.005716135,0.0001890778,0.0001391003,0.02995293,0.8496954,0.1078845],"study_design_scores_gemma":[0.0003219402,0.00009997068,0.0005558364,0.03928998,0.000424641,0.001022701,0.007522547,0.0007635255,0.0004568681,0.1961275,0.7532027,0.0002118906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004704247,0.01808293,0.007926336,0.9015082,0.05711439,0.0002068467,0.0005119289,0.0002382646,0.0139407],"genre_scores_gemma":[0.04197836,0.05085307,0.04399348,0.7817547,0.06646947,0.00172246,0.001190978,0.001133245,0.01090428],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2692001,"threshold_uncertainty_score":0.9012064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5373312540480566,"score_gpt":0.5561304508019149,"score_spread":0.01879919675385833,"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."}}