{"id":"W4302313112","doi":"","title":"EXPERIENCED PHYSICIANS BENEFIT FROM ANALYZING INITIAL DIAGNOSTIC HYPOTHESES","year":2013,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Psychology; Medicine; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001850065,0.00027485,0.0004982573,0.0000613078,0.0002295145,0.0001628928,0.0005723768,0.0000846325,0.0001530852],"category_scores_gemma":[0.002353833,0.0002242988,0.00007134587,0.0002049335,0.0001716809,0.0003186179,0.0005364217,0.000282485,0.00008753036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001390287,"about_ca_system_score_gemma":0.0000290689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005843453,"about_ca_topic_score_gemma":0.0006948487,"domain_scores_codex":[0.9980285,0.0000775451,0.0004140278,0.0007271107,0.0002675282,0.0004853308],"domain_scores_gemma":[0.9811088,0.01730278,0.0001413111,0.001077331,0.0000450331,0.0003247391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000187112,0.0005029396,0.541452,0.0001181348,0.0003433955,0.0001278973,0.009173797,0.0003204324,0.001723584,0.00008020543,0.001647932,0.4443226],"study_design_scores_gemma":[0.001159805,0.0001921911,0.9131038,0.005152324,0.0003308135,0.0000189281,0.002581124,0.07450882,0.000159434,0.001568743,0.0008050755,0.0004189946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958191,0.0008880813,0.0007387403,0.0003525056,0.0002316119,0.0002945375,0.0002778303,0.000139089,0.001258502],"genre_scores_gemma":[0.9925702,0.0008224647,0.001901197,0.001392466,0.001061125,0.00005068605,0.002088294,0.00003930036,0.00007433332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4439036,"threshold_uncertainty_score":0.9146641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726138441050105,"score_gpt":0.3061031712993543,"score_spread":0.2788417868888532,"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."}}