{"id":"W2129355295","doi":"10.1371/journal.pmed.0050232","title":"Ovarian Carcinoma Subtypes Are Different Diseases: Implications for Biomarker Studies","year":2008,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":820,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Vancouver General Hospital","funders":"National Cancer Institute; Canadian Institutes of Health Research; Eli Lilly Canada; Michael Smith Health Research BC; Canary Foundation; Sanofi; Eli Lilly and Company","keywords":"Biomarker; Serous fluid; Oncology; Serous carcinoma; Ovarian cancer; Clear cell; Internal medicine; Medicine; Population; Ovarian carcinoma; Clear cell carcinoma; Cohort; Cancer; Carcinoma; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004569577,0.0002347821,0.0006473898,0.0001253499,0.0002201659,0.000003602538,0.00007713211,0.00005182908,0.0001352732],"category_scores_gemma":[0.0003212464,0.0001458145,0.0001236279,0.0001744548,0.0002357544,0.00003654603,0.00003105858,0.00006488567,0.00001388745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988677,"about_ca_system_score_gemma":0.0000757455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000300045,"about_ca_topic_score_gemma":0.00001643353,"domain_scores_codex":[0.9987736,0.0000230615,0.0003184912,0.0003929797,0.0002124294,0.0002794212],"domain_scores_gemma":[0.9985366,0.0003187791,0.0001235194,0.0004842578,0.0002615511,0.0002752774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002363956,0.00106647,0.9409553,0.0003392326,0.00112118,0.00008757135,0.0007209903,1.711665e-7,0.0005368412,0.0007913197,0.05222423,0.001920323],"study_design_scores_gemma":[0.004967711,0.0006234718,0.9874491,0.0004034078,0.001430417,0.00007404316,0.0003772027,0.00002740804,0.0003663785,0.0005171182,0.003628416,0.0001353448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731381,0.02203259,0.0001571602,0.1014851,0.0003866024,0.001791178,0.0002020243,0.0001408962,0.0006663529],"genre_scores_gemma":[0.9939337,0.002129979,0.0001898913,0.001253394,0.000676411,0.001008277,0.0001642689,0.00003542049,0.0006086958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207955,"threshold_uncertainty_score":0.5946141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397849433932931,"score_gpt":0.3475216397840144,"score_spread":0.2077366963907213,"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."}}