{"id":"W2085422756","doi":"10.1158/0008-5472.sabcs12-s4-6","title":"Abstract S4-6: An international Ki67 reproducibility study","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"AI in cancer detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ontario Institute for Cancer Research","funders":"","keywords":"Concordance; Intraclass correlation; Reproducibility; Medicine; Breast cancer; Concordance correlation coefficient; Cancer; Nuclear medicine; Pathology; Medical physics; Statistics; Mathematics; 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":[],"category_scores_codex":[0.04949169,0.001008102,0.000731616,0.002594121,0.00109723,0.001646267,0.001131281,0.0008494622,0.006140225],"category_scores_gemma":[0.04727942,0.0003724887,0.001963727,0.002306454,0.001200051,0.001077776,0.00209275,0.0007778754,0.002208456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007806229,"about_ca_system_score_gemma":0.001063833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173981,"about_ca_topic_score_gemma":0.001042929,"domain_scores_codex":[0.9725718,0.01433613,0.003722999,0.002683878,0.006062268,0.0006229182],"domain_scores_gemma":[0.8988904,0.03503728,0.01233557,0.0178809,0.03338451,0.002471361],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009486183,0.001876087,0.8743804,0.0008110093,0.002648575,0.0005027629,0.003811828,0.001588829,0.01239124,0.001078211,0.005392007,0.08603278],"study_design_scores_gemma":[0.0007019793,0.01135229,0.9374273,0.0002587638,0.00250411,0.002370788,0.002193027,0.004104199,0.02023657,0.0008895898,0.01780326,0.0001580449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464201,0.001502872,0.02906099,0.0004048288,0.0003186876,0.001724522,0.002985182,0.0003088636,0.01727388],"genre_scores_gemma":[0.9869292,0.0001436861,0.007425406,0.0001781937,0.0001457046,0.0007643172,0.002779509,0.000194457,0.001439543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9505083,"threshold_uncertainty_score":0.2617402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2552492214512779,"score_gpt":0.5060120228200258,"score_spread":0.2507628013687478,"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."}}