{"id":"W2151131460","doi":"10.5858/133.1.31","title":"Measuring extent of ductal carcinoma in situ in breast excision specimens: a comparison of 4 methods.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ductal carcinoma; Sampling (signal processing); Context (archaeology); Carcinoma; Medicine; Carcinoma in situ; Radiology; Calcification; Breast carcinoma; In situ; Statistics; Breast cancer; Computer science; Mathematics; Pathology; Internal medicine; Biology; Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579601,0.0001128553,0.0002869815,0.00009210141,0.00001029021,0.000002525586,0.00009743851,0.00005929778,0.000001595559],"category_scores_gemma":[0.00004093219,0.0001055519,0.00006129184,0.0001358471,0.00004246728,0.000003391303,0.00006242364,0.00005179049,2.471862e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005221119,"about_ca_system_score_gemma":0.00001626213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001187841,"about_ca_topic_score_gemma":0.0001230206,"domain_scores_codex":[0.9990515,0.00008141514,0.0003175387,0.0002307565,0.0001018008,0.0002170353],"domain_scores_gemma":[0.9996004,0.0000151946,0.0001095868,0.0001979924,0.00004234648,0.00003454661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006249875,0.0007458844,0.542703,0.00003069461,0.00005158889,0.000009239111,0.0004066083,0.00009618745,0.2617119,0.00003034907,0.00007785939,0.1935118],"study_design_scores_gemma":[0.0007652286,0.00003435933,0.7632805,0.00001325016,0.000009453885,0.00001088178,0.0001418973,0.000006061201,0.2356073,0.00004096924,0.00002390113,0.00006626506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954786,0.00300817,0.0000698171,0.0001763959,0.00005050433,0.0002629809,0.000007137277,0.000002856487,0.00094355],"genre_scores_gemma":[0.9986377,0.00006346363,0.001136373,0.00001600109,0.00004138048,0.0000827022,0.000008966915,0.000006613691,0.000006798501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2205775,"threshold_uncertainty_score":0.4304281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05067072494012278,"score_gpt":0.3053493487689166,"score_spread":0.2546786238287938,"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."}}