{"id":"W3165316018","doi":"10.1111/apm.13156","title":"Reliability of Ki67 visual scoring app compared to eyeball estimate and digital image analysis and its prognostic significance in hormone receptor‐positive breast cancer","year":2021,"lang":"en","type":"article","venue":"Apmis","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Breast cancer; Reliability (semiconductor); Hormone receptor; Digital image analysis; Computer science; Receptor; Oncology; Digital image; Internal medicine; Artificial intelligence; Computer vision; Cancer; Image (mathematics); Medicine; Image processing","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":[0.00005994412,0.0001505755,0.0002895363,0.00004497473,0.00004066231,0.00002880748,0.00004829211,0.00004548167,0.000006795686],"category_scores_gemma":[0.00009187694,0.0001473725,0.00004565534,0.0003318479,0.00008771409,0.00001388771,0.0001663392,0.00004369374,0.00000108611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003934756,"about_ca_system_score_gemma":0.00005096425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003729972,"about_ca_topic_score_gemma":0.0003132834,"domain_scores_codex":[0.9990432,0.00003347284,0.0001838647,0.0004615299,0.00009359776,0.0001842801],"domain_scores_gemma":[0.9994944,0.00003867872,0.00006113144,0.0001383012,0.0001863889,0.00008107336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003314991,0.0001881919,0.5593221,0.00006079238,0.0004499604,0.000009652454,0.0002985996,0.000146909,0.435972,0.000002358566,0.00006059363,0.003157376],"study_design_scores_gemma":[0.0005082748,0.00006118759,0.8884516,0.00004612397,0.0001713423,0.000005525661,0.0001362866,0.0001550315,0.1102871,0.000005755752,0.00002104895,0.0001507415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996769,0.001841517,0.0002534885,0.0003181845,0.00001853668,0.000193947,0.0005319607,0.000007620246,0.0000657352],"genre_scores_gemma":[0.9987521,0.0003168442,0.000651349,0.00002855288,0.000027664,0.00006916808,0.0001065553,0.00001099675,0.00003676948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3291295,"threshold_uncertainty_score":0.6009676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005917145370934098,"score_gpt":0.2731437133189146,"score_spread":0.2672265679479805,"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."}}