{"id":"W2020401994","doi":"10.6000/1929-6029.2013.02.04.1","title":"Progression and Death as Competing Risks in Ovarian Cancer","year":2013,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proportional hazards model; Ovarian cancer; Econometrics; Gray (unit); Complement (music); Statistics; Statistical model; Computer science; Medicine; Cancer; Mathematics; Internal medicine; 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":[0.02974804,0.0007200701,0.0009974707,0.001575021,0.0004655431,0.00205159,0.001594195,0.001508077,0.002825003],"category_scores_gemma":[0.07184928,0.0003367481,0.002656101,0.00148128,0.002003597,0.001802241,0.002019039,0.002700433,0.0001496034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434814,"about_ca_system_score_gemma":0.001647302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486996,"about_ca_topic_score_gemma":0.00150648,"domain_scores_codex":[0.9822602,0.01554309,0.0003060937,0.0006196599,0.0009773856,0.000293629],"domain_scores_gemma":[0.858043,0.1331349,0.004760712,0.002510992,0.0008664703,0.0006839788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002956982,0.0003018793,0.1139181,0.00222361,0.001868824,0.001576994,0.002238334,0.3211821,0.0007143811,0.420704,0.005124881,0.1271899],"study_design_scores_gemma":[0.0002267728,0.0007864776,0.02132243,0.0003284207,0.0005376906,0.001825954,0.00039505,0.4270991,0.0005504776,0.5421849,0.004629817,0.0001128443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4379496,0.01523393,0.528373,0.007618118,0.0004469409,0.0006755373,0.001478591,0.0002136042,0.008010671],"genre_scores_gemma":[0.9649848,0.001721429,0.03048029,0.0004072312,0.0001615076,0.0004329826,0.0005317701,0.00003535984,0.001244538],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02974804,"threshold_uncertainty_score":0.1573246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7015313884885316,"score_gpt":0.7235348038349219,"score_spread":0.02200341534639028,"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."}}