{"id":"W3212108649","doi":"10.2196/25976","title":"Long-Term Survival Among Histological Subtypes in Advanced Epithelial Ovarian Cancer: Population-Based Study Using the Surveillance, Epidemiology, and End Results Database","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Serous fluid; Ovarian cancer; Internal medicine; Epidemiology; Oncology; Proportional hazards model; Hazard ratio; Clear cell; Surveillance, Epidemiology, and End Results; Cancer; Survival analysis; Stage (stratigraphy); Population; Disease; Gynecology; Cancer registry; Carcinoma; Confidence interval; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001913172,0.0002498697,0.0004237924,0.001663876,0.0003235774,0.0006605466,0.0004596981,0.0003738206,0.0005794352],"category_scores_gemma":[0.003636877,0.0002612875,0.0006311523,0.002552726,0.0002459344,0.0008216129,0.0006565868,0.0005407502,0.0001425293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000492401,"about_ca_system_score_gemma":0.0005090233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006345043,"about_ca_topic_score_gemma":0.008464999,"domain_scores_codex":[0.9989862,0.0002659381,0.000197479,0.0002377463,0.0002040329,0.0001086572],"domain_scores_gemma":[0.996663,0.0005186063,0.001896741,0.0002809605,0.0003261347,0.0003145252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000230971,0.000008069307,0.9995928,0.000004306098,0.00003714778,0.0000114445,0.00001127552,0.0000220387,0.0000180664,0.000004196607,0.00003706628,0.0002304266],"study_design_scores_gemma":[0.000007226492,0.00005046707,0.999333,0.000007692047,0.00004022146,0.0001223543,0.00007995241,0.0001967021,0.00002081481,0.00001097005,0.0001278627,0.000002814054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972006,0.0002960412,0.0001478903,0.00002901908,0.000004867585,0.00002052655,0.002099124,0.000004208002,0.0001977268],"genre_scores_gemma":[0.9972615,0.0001423476,0.000119177,0.00002275584,0.000009731286,0.00002592942,0.00237627,0.000001795012,0.00004041137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006345043,"threshold_uncertainty_score":0.01261622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07347163876520735,"score_gpt":0.3760754921832763,"score_spread":0.3026038534180689,"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."}}