{"id":"W2991408564","doi":"10.1111/his.14039","title":"Histological grading of ovarian mucinous carcinoma – an outcome‐based analysis of traditional and novel systems","year":2019,"lang":"en","type":"article","venue":"Histopathology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Toronto; University of Ottawa; Sunnybrook Health Science Centre","funders":"","keywords":"Grading (engineering); Medicine; Univariate analysis; Proportional hazards model; Cohort; Multivariate analysis; Internal medicine; Ovarian carcinoma; Ovarian cancer; Gynecology; Carcinoma; Oncology; Cohort study; Survival analysis; Cancer; Biology","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":[0.0001963839,0.0001266094,0.0008479889,0.0003970985,0.00002644326,0.000002522001,0.00005645199,0.000118447,0.0001588543],"category_scores_gemma":[0.00002378655,0.0001060029,0.00015543,0.0002104828,0.0001448569,0.00002813796,0.000008772406,0.00008211,0.000002156983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664522,"about_ca_system_score_gemma":0.00007705171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002989893,"about_ca_topic_score_gemma":0.00001806232,"domain_scores_codex":[0.9988792,0.00006327048,0.0004236604,0.0003305578,0.0001561525,0.0001471889],"domain_scores_gemma":[0.9991593,0.0001223514,0.0002232247,0.0003302066,0.00006893668,0.00009602429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001366588,0.0009676146,0.9696057,0.0001411133,0.000101196,0.0001110537,0.0001670684,0.0001319766,0.01187832,0.01659752,0.00002224464,0.0001395459],"study_design_scores_gemma":[0.002136307,0.001316284,0.9911923,0.00001821256,0.001694307,0.0001439929,0.00005184443,0.002930903,0.0001987346,0.00001988197,0.0002114717,0.00008580749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966804,0.0005936436,0.0008417553,0.000225553,0.000284841,0.0002504124,0.0001175276,0.00001525255,0.0009906173],"genre_scores_gemma":[0.9982945,0.000004076479,0.001309676,0.0001316484,0.00003067036,0.00002451956,0.0001188295,0.00001000481,0.00007608302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02158657,"threshold_uncertainty_score":0.4322673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07603277456831162,"score_gpt":0.2885715651438039,"score_spread":0.2125387905754923,"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."}}