{"id":"W1037076944","doi":"10.1097/pai.0000000000000249","title":"Modeling Canadian Quality Control Test Program for Steroid Hormone Receptors in Breast Cancer: Diagnostic Accuracy Study","year":2015,"lang":"en","type":"article","venue":"Applied immunohistochemistry & molecular morphology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Health Canada; Partenariat Canadien Contre Le Cancer","keywords":"Gold standard (test); Breast cancer; Progesterone receptor; Medicine; Estrogen receptor; Sensitivity (control systems); Confidence interval; Internal medicine; Gynecology; Computer science; Oncology; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003408789,0.0005049719,0.001310706,0.0001147827,0.0001155495,0.00005337284,0.0007358118,0.0004640044,0.00007158375],"category_scores_gemma":[0.06430667,0.0005374441,0.0001742314,0.0003234988,0.0002545785,0.00004219836,0.000125896,0.0006691988,0.00001601967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015061,"about_ca_system_score_gemma":0.0007247364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824154,"about_ca_topic_score_gemma":0.0002787955,"domain_scores_codex":[0.9954866,0.0004575872,0.00171395,0.0009722497,0.0003955927,0.0009740243],"domain_scores_gemma":[0.9805999,0.0170285,0.000355041,0.001091847,0.000375859,0.0005488108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00258687,0.005873292,0.003223054,0.0003295474,0.0006628593,0.0003730263,0.0008650923,0.001842826,0.9482722,0.00249935,0.002964893,0.03050694],"study_design_scores_gemma":[0.1587792,0.006398263,0.007534059,0.0007063739,0.004452003,0.0005090915,0.009257833,0.02543122,0.04424974,0.731244,0.0005580846,0.01088009],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552781,0.0004665916,0.03589718,0.0007686639,0.0005191262,0.005929652,0.0005165854,0.0001724114,0.0004516947],"genre_scores_gemma":[0.9096886,0.00001580205,0.08346123,0.0003764554,0.0001272209,0.006166166,0.00003683007,0.0001031432,0.00002459381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9040225,"threshold_uncertainty_score":0.9997077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1792223616329514,"score_gpt":0.4901022869271244,"score_spread":0.310879925294173,"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."}}