{"id":"W2065037053","doi":"10.1053/j.ajkd.2012.01.008","title":"On Being Better Kidney Doctors: Understanding Trajectories, Probabilities, Predictability, and People","year":2012,"lang":"en","type":"letter","venue":"American Journal of Kidney Diseases","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Predictability; Kidney disease; Internal medicine; Statistics","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":[0.006261156,0.0003252129,0.0009803136,0.0005796261,0.002649543,0.003037093,0.0008768677,0.01772845,0.004788343],"category_scores_gemma":[0.0593658,0.0003289845,0.0005486102,0.0006985658,0.002822912,0.00676132,0.001129186,0.02331415,0.001262384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003270232,"about_ca_system_score_gemma":0.003220469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042517,"about_ca_topic_score_gemma":0.03540847,"domain_scores_codex":[0.9976053,0.001331422,0.0002495101,0.0002351476,0.000360664,0.0002178556],"domain_scores_gemma":[0.9581636,0.03441606,0.002038385,0.0006603416,0.002553087,0.002168544],"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":[0.0003339651,0.0003057957,0.07958544,0.0001336503,0.0001401198,0.002424366,0.004299534,0.0005916826,0.0001349063,0.02071068,0.8065251,0.08481486],"study_design_scores_gemma":[0.0006251599,0.0005638573,0.09872063,0.001900808,0.0003444997,0.006561052,0.02590999,0.01220895,0.0003893286,0.3477985,0.504556,0.000421212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003877613,0.0005994423,0.0001253856,0.9929554,0.001052292,0.000003413152,0.00006481767,0.000005675221,0.00131591],"genre_scores_gemma":[0.08503083,0.002184219,0.0007669097,0.8963144,0.01336762,0.00003744919,0.00005910308,0.00001376494,0.002225698],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02042517,"threshold_uncertainty_score":0.04061258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470642891709273,"score_gpt":0.2483953887765878,"score_spread":0.2336889598594951,"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."}}