{"id":"W1990593098","doi":"10.1002/dc.20041","title":"Interobserver agreement of a probabilistic approach to reporting breast fine‐needle aspirations on ThinPrep®","year":2004,"lang":"en","type":"article","venue":"Diagnostic Cytopathology","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"Beth Israel Deaconess Medical Center","keywords":"Medicine; Kappa; Cohen's kappa; Medical diagnosis; Fine-needle aspiration; Cytology; Radiology; Breast carcinoma; Biopsy; Pathology; Breast cancer; Internal medicine; Cancer","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":[0.05070119,0.0004695851,0.00043429,0.002228542,0.0006656877,0.001576171,0.001152706,0.0005507079,0.00116359],"category_scores_gemma":[0.1085618,0.0004611155,0.0007527034,0.0008036531,0.001198819,0.001150171,0.002708596,0.0006030248,0.0004912475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006640973,"about_ca_system_score_gemma":0.0005177127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515713,"about_ca_topic_score_gemma":0.003550557,"domain_scores_codex":[0.9300358,0.0399562,0.00905661,0.005735251,0.01438553,0.0008304691],"domain_scores_gemma":[0.8694366,0.07929377,0.0112539,0.01095594,0.02803045,0.001029357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003162689,0.00016149,0.7644677,0.0009312708,0.002076148,0.0005256968,0.01146543,0.006870766,0.02655809,0.001491032,0.002196294,0.1800934],"study_design_scores_gemma":[0.0001465228,0.001123125,0.8820492,0.0004567826,0.0009529751,0.002505278,0.005321791,0.07277866,0.02279147,0.004746955,0.006752455,0.0003747738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8397557,0.0016484,0.1476617,0.000250092,0.0002409539,0.0003564727,0.0003460028,0.0005013025,0.009239576],"genre_scores_gemma":[0.972773,0.0001795774,0.0259266,0.00007398193,0.00006410704,0.0001655467,0.0002448185,0.00008178283,0.0004905096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05070119,"threshold_uncertainty_score":0.2681367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05264397541103463,"score_gpt":0.2820064697428959,"score_spread":0.2293624943318613,"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."}}