{"id":"W2096818426","doi":"10.1158/1055-9965.epi-14-0885","title":"Telomere Length and Mortality Following a Diagnosis of Ovarian Cancer","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Public Health Ontario; Women's College Hospital; University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Telomere; Ovarian cancer; Quartile; Hazard ratio; Oncology; Internal medicine; Medicine; Proportional hazards model; Cancer; Population; Confidence interval; Biology; Genetics; DNA","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007189531,0.0001407676,0.0001700435,0.0004774618,0.0001789215,0.000304341,0.0002617602,0.0002442235,0.001549011],"category_scores_gemma":[0.006018776,0.00007651807,0.0002686623,0.000629183,0.0002483546,0.0001929083,0.0003403458,0.0004496357,0.0001318036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008138962,"about_ca_system_score_gemma":0.0005869522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244271,"about_ca_topic_score_gemma":0.01858546,"domain_scores_codex":[0.9996405,0.00007991565,0.00002754204,0.00006838208,0.0001093125,0.00007441288],"domain_scores_gemma":[0.9963361,0.0008826209,0.002036932,0.0001452113,0.0003078727,0.0002912719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001354189,0.000008060717,0.9969453,0.00001931857,0.00004782551,0.00003012999,0.00003178558,0.00007752836,0.0001131705,0.00001080999,0.0001067206,0.002474024],"study_design_scores_gemma":[0.000003442015,0.00004170151,0.9995358,0.000007137424,0.00002020673,0.00007957229,0.00001546953,0.00009696899,0.00003367919,0.00002113928,0.0001436843,0.000001227928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963493,0.001701432,0.0001292553,0.0002495504,0.000009938907,0.000005442333,0.0009823706,0.00001084025,0.0005618113],"genre_scores_gemma":[0.9991128,0.0002461538,0.00004016826,0.00002458009,0.00001427051,0.000002193494,0.0004641661,0.000001241649,0.00009442229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02244271,"threshold_uncertainty_score":0.04462415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636645148383993,"score_gpt":0.3869119744098604,"score_spread":0.3232474595714611,"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."}}