{"id":"W1999331462","doi":"10.1111/his.12219","title":"Accelerating type‐specific ovarian carcinoma research: Calculator for Ovarian Subtype Prediction (<scp>COSP</scp>) is a reliable high‐throughput tool for case review","year":2013,"lang":"en","type":"article","venue":"Histopathology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary; University of British Columbia","funders":"","keywords":"Concordance; Medicine; Ovarian carcinoma; Biomarker; Ovarian cancer; Oncology; Internal medicine; Bioinformatics; Cancer; Biology; Genetics","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":[0.02140808,0.0003254309,0.0007308787,0.004747461,0.000702039,0.002072967,0.0009441174,0.0005204806,0.003276899],"category_scores_gemma":[0.03546408,0.0003739257,0.0005280806,0.002405987,0.0005271931,0.001065963,0.001663176,0.0004728242,0.00132535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008449024,"about_ca_system_score_gemma":0.002455748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337374,"about_ca_topic_score_gemma":0.00317807,"domain_scores_codex":[0.9871335,0.007035227,0.001493265,0.0009090729,0.003175881,0.0002531456],"domain_scores_gemma":[0.9613717,0.01402977,0.007911067,0.004689763,0.01076495,0.001232841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009920617,0.0001532158,0.4841748,0.0009842523,0.000213097,0.0009946602,0.0003668971,0.001725588,0.009618401,0.001119733,0.02208623,0.4775711],"study_design_scores_gemma":[0.0006683962,0.001538887,0.8055466,0.00067546,0.0007584283,0.02217503,0.001181561,0.05554186,0.03233811,0.004108244,0.07526947,0.0001980143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.810976,0.007908852,0.1220204,0.005416282,0.0004440552,0.008307247,0.003960538,0.005215899,0.03575081],"genre_scores_gemma":[0.8258514,0.001452814,0.167269,0.0004161623,0.0002417996,0.001232976,0.001915716,0.0001908745,0.001429232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02140808,"threshold_uncertainty_score":0.1132181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111738751712162,"score_gpt":0.3410558597619158,"score_spread":0.2298819845906997,"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."}}