{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004386566,0.0003890922,0.0003648201,0.002118131,0.0001965059,0.0008572053,0.0005030761,0.0002310632,0.0007297174],"category_scores_gemma":[0.007922415,0.0000897554,0.0004941598,0.001203582,0.0004946233,0.0007496115,0.0008483338,0.0003149585,0.00024762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006209888,"about_ca_system_score_gemma":0.0002618196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008316879,"about_ca_topic_score_gemma":0.001455129,"domain_scores_codex":[0.9985821,0.0006296227,0.0001407751,0.0001654265,0.0004129653,0.00006906112],"domain_scores_gemma":[0.9949634,0.001443096,0.001924795,0.0004661547,0.0009292053,0.0002734494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000434258,0.00002024439,0.9817124,0.00005614985,0.000201882,0.00003267629,0.00005173482,0.0004266049,0.0006572112,0.00007423552,0.0001921254,0.01614035],"study_design_scores_gemma":[0.00002351383,0.0004231176,0.9927565,0.00002996917,0.0001502027,0.0002863863,0.0001437693,0.004675512,0.0005213327,0.000299505,0.0006782641,0.00001188968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902204,0.002433457,0.004465706,0.000136589,0.00005547379,0.00005084773,0.0005977356,0.0000354492,0.002004245],"genre_scores_gemma":[0.9979146,0.0002327816,0.001119028,0.00001585593,0.00003637644,0.00001622405,0.0005038552,0.000006648668,0.0001545966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004386566,"threshold_uncertainty_score":0.0231986,"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."}}