{"id":"W4226059009","doi":"10.2139/ssrn.4082917","title":"Survival Prognostic and Surrogate Values of the Early Modeled Ca-125 Kelim Score in First-Line Treatment of Ovarian Cancer: Results from The Gcig Individual Patient Data Meta-Analysis","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Meta-analysis; Ovarian cancer; Oncology; Internal medicine; Medicine; Surrogate endpoint; First line; Patient data; Cancer; Computer science","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":[0.01144298,0.002493251,0.007383618,0.001113727,0.0004097483,0.002822346,0.00164177,0.001975641,0.001837169],"category_scores_gemma":[0.01794781,0.00117206,0.03190704,0.001621829,0.0005739455,0.0013994,0.001211982,0.003515901,0.0002898307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055907,"about_ca_system_score_gemma":0.0008480602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005496701,"about_ca_topic_score_gemma":0.00876497,"domain_scores_codex":[0.9934253,0.004226931,0.0004769391,0.001156051,0.0004505266,0.0002644186],"domain_scores_gemma":[0.9914898,0.005713355,0.0009447862,0.001308746,0.0003399256,0.0002035128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.03395114,0.00005626607,0.03567912,0.006215546,0.9068565,0.0001049927,0.00005840303,0.003897349,0.0006685419,0.0001837231,0.00094847,0.01137996],"study_design_scores_gemma":[0.003192659,0.001074349,0.02475948,0.000442708,0.9650049,0.0001268083,0.00004608403,0.002739835,0.000350331,0.0007994568,0.001412166,0.00005112828],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3987215,0.5824681,0.008531324,0.001239746,0.00112609,0.0001554253,0.004887122,0.0003674769,0.002503184],"genre_scores_gemma":[0.9817333,0.01353587,0.00164865,0.0005864704,0.0002972969,0.00008962708,0.001376498,0.00009298346,0.0006393437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01144298,"threshold_uncertainty_score":0.06051701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.086785732277448,"score_gpt":0.2998434027716282,"score_spread":0.2130576704941802,"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."}}