{"id":"W1980570292","doi":"10.1111/his.12387","title":"Understanding diagnostic variability in breast pathology: lessons learned from an expert consensus review panel","year":2014,"lang":"en","type":"article","venue":"Histopathology","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medical diagnosis; Consensus conference; Medicine; Medical physics; Atypia; MEDLINE; Diagnostic accuracy; Pathology; Radiology; Internal medicine","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5510736,0.001139603,0.002443859,0.008551443,0.005130026,0.01305348,0.009311398,0.008650968,0.001344369],"category_scores_gemma":[0.5819698,0.001571722,0.002005711,0.004330318,0.009354671,0.01515809,0.01325626,0.01039789,0.0006590126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008786921,"about_ca_system_score_gemma":0.0274532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005504599,"about_ca_topic_score_gemma":0.01022877,"domain_scores_codex":[0.5052413,0.3654009,0.04857766,0.01910151,0.05755908,0.004119578],"domain_scores_gemma":[0.2247659,0.5665167,0.02513243,0.02596889,0.1500695,0.007546582],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002574924,0.00033719,0.03091694,0.008941861,0.001158347,0.002612822,0.1387845,0.003231721,0.002648943,0.02145757,0.06236045,0.7272921],"study_design_scores_gemma":[0.0004711848,0.0009792838,0.04918487,0.06529927,0.001236201,0.00760291,0.1912618,0.02301982,0.006697122,0.341687,0.3111528,0.001407606],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06616056,0.05817574,0.3508934,0.5021831,0.007632137,0.002608815,0.0002504152,0.0007052709,0.01139048],"genre_scores_gemma":[0.5407228,0.02195279,0.3858812,0.04126492,0.00467809,0.003014596,0.0003865718,0.0004214802,0.001677527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4489264,"threshold_uncertainty_score":0.5536062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1957943781271972,"score_gpt":0.3366647818748662,"score_spread":0.140870403747669,"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."}}