{"id":"W2603287415","doi":"","title":"Discrete-Time Survival Trees","year":2007,"lang":"fr","type":"article","venue":"Les Cahiers du GERAD","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Research Unit on Children's Psychosocial Maladjustment; University of British Columbia; HEC Montréal","funders":"","keywords":"Categorical variable; Statistics; Covariate; Interpretability; Mathematics; Survival analysis; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001782118,0.0004049449,0.0006456206,0.0001113305,0.0003229648,0.0001325136,0.0003369873,0.0005147966,0.003378036],"category_scores_gemma":[0.002381319,0.0003802866,0.0002220824,0.000325169,0.001037897,0.000138169,0.0000705524,0.0006875456,0.0006837216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002153782,"about_ca_system_score_gemma":0.00006496548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000183651,"about_ca_topic_score_gemma":0.0001153639,"domain_scores_codex":[0.9971075,0.0004060094,0.0006759083,0.0004571983,0.0004519478,0.0009014089],"domain_scores_gemma":[0.9936435,0.005164791,0.0001971812,0.0004824487,0.0001146474,0.0003974807],"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":[0.0000559036,0.0001425455,0.0008922776,0.0001520198,0.00008485982,0.0002276687,0.001238047,2.485366e-7,0.0004438345,0.7914553,0.003537834,0.2017694],"study_design_scores_gemma":[0.0006246631,0.0002096882,0.008557969,0.0001817482,0.0002143891,0.00006025733,0.000483214,0.000731222,0.0009113624,0.9489267,0.03845776,0.0006409903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01593928,0.001078772,0.9374807,0.002700518,0.001845149,0.0002456394,0.000189644,0.000118693,0.04040163],"genre_scores_gemma":[0.01727374,0.0001569405,0.9493929,0.0002928321,0.001261457,0.000007311229,0.00001712037,0.00008191541,0.03151582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2011284,"threshold_uncertainty_score":0.9998649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450472953031285,"score_gpt":0.3162869503143754,"score_spread":0.2917822207840625,"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."}}