{"id":"W2133121527","doi":"10.1002/cjs.10007","title":"Discrete‐time survival trees","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":31,"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":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Categorical variable; Interpretability; Covariate; Statistics; Computer science; Accelerated failure time model; Survival analysis; Tree (set theory); Feature selection; Mathematics; Machine learning; Data mining; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004965206,0.0001311973,0.0003462044,0.0001369234,0.0000948807,0.00007207078,0.0002322583,0.00005818067,0.00103762],"category_scores_gemma":[0.004530231,0.0001094048,0.00005425306,0.0001200155,0.0001052262,0.00005985031,0.000004142855,0.0002356408,0.00002810424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008216841,"about_ca_system_score_gemma":0.0006461492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002608427,"about_ca_topic_score_gemma":0.002061239,"domain_scores_codex":[0.9987555,0.0001096501,0.0004975577,0.00008853625,0.0002292033,0.0003195943],"domain_scores_gemma":[0.9975047,0.001061403,0.0002385285,0.0001485968,0.0003111844,0.0007356452],"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":[0.00001192703,0.0000177493,0.0004457379,0.00001115326,0.00002729563,0.0003923883,0.0001965141,0.000004105501,0.00008725169,0.9078941,0.04099128,0.04992045],"study_design_scores_gemma":[0.0003164317,0.0004715104,0.0177464,0.00007361591,0.00007466545,0.00009273084,0.00009060165,0.0005014652,0.00005333524,0.9753698,0.005014685,0.0001948393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005388509,0.0001073197,0.9801058,0.0007606099,0.0004107942,0.0000804222,0.000849233,0.00000961771,0.01228766],"genre_scores_gemma":[0.2581151,0.00001114792,0.7408063,0.0002031307,0.0002277968,3.0023e-7,0.000004243029,0.00001651071,0.0006154486],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2527266,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07523391475767599,"score_gpt":0.330651013246113,"score_spread":0.255417098488437,"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."}}