{"id":"W2888696592","doi":"10.1038/s41379-018-0109-4","title":"An international multicenter study to evaluate reproducibility of automated scoring for assessment of Ki67 in breast cancer","year":2018,"lang":"en","type":"article","venue":"Modern Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Juravinski Cancer Centre; Sinai Health System; University of Toronto; Ontario Institute for Cancer Research; Queen's University; Alberta Health Services; McMaster University; Juravinski Hospital; University of British Columbia","funders":"Cure Brain Cancer Foundation; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Government of Ontario; Ontario Institute for Cancer Research; Cancer Research UK; Breast Cancer Research Foundation","keywords":"Intraclass correlation; Reproducibility; Medicine; Correlation coefficient; Breast cancer; Coefficient of variation; Confidence interval; Nuclear medicine; Medical physics; Radiology; Statistics; Cancer; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02323723,0.001050221,0.0009083876,0.00163481,0.001116475,0.001512117,0.001336929,0.001344903,0.001122331],"category_scores_gemma":[0.03854972,0.0006097927,0.001089153,0.001803186,0.001516886,0.001261487,0.001106063,0.0008804993,0.0005082716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107575,"about_ca_system_score_gemma":0.0009885042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003868228,"about_ca_topic_score_gemma":0.003676564,"domain_scores_codex":[0.9814661,0.01107489,0.00154688,0.002583596,0.002747041,0.0005816132],"domain_scores_gemma":[0.9501113,0.01798676,0.009286322,0.009704586,0.01125936,0.001651534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01619118,0.002815822,0.9454914,0.0002553864,0.002767788,0.0001702819,0.002262982,0.0004650521,0.005099164,0.0002656586,0.0008472411,0.02336803],"study_design_scores_gemma":[0.001815481,0.01061893,0.9770246,0.00007784586,0.001643301,0.0005651853,0.00091185,0.001578729,0.003034485,0.0001287846,0.002539882,0.00006097909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955113,0.000590319,0.001617347,0.00006862973,0.00006558444,0.0003777181,0.0003605765,0.00003038524,0.001378126],"genre_scores_gemma":[0.9963348,0.0001184298,0.001783519,0.0001337131,0.0000829103,0.0003449322,0.0007860986,0.00003923112,0.0003763381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323723,"threshold_uncertainty_score":0.1228917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05968679981892819,"score_gpt":0.4219095261387893,"score_spread":0.3622227263198611,"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."}}