{"id":"W3045796298","doi":"10.1002/cjs.11561","title":"Continuous threshold models with two‐way interactions in survival analysis","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Statistics; Mathematics; Covariance; Consistency (knowledge bases); Threshold model; Proportional hazards model; Asymptotic distribution; Applied mathematics; Computer science; Econometrics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003226073,0.0001322786,0.0005147543,0.0002812589,0.00005478485,0.00007254747,0.0001921745,0.00002613752,0.0004394037],"category_scores_gemma":[0.001288686,0.0001087644,0.00005948872,0.0005962721,0.00009878779,0.0001024717,0.000008643842,0.0003957939,0.000003652355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009578321,"about_ca_system_score_gemma":0.0005298188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002515906,"about_ca_topic_score_gemma":0.09856033,"domain_scores_codex":[0.9987388,0.0000998399,0.0005537382,0.0001260883,0.0002140426,0.0002674469],"domain_scores_gemma":[0.9975802,0.0009402531,0.0002680207,0.000120875,0.0003721128,0.0007184874],"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":[0.00006281077,0.00003268747,0.02022568,0.00003968274,0.0004559428,0.001161081,0.001864734,0.00459298,0.00001485143,0.9636347,0.003342524,0.004572306],"study_design_scores_gemma":[0.001625837,0.0005636908,0.01009705,0.0001602071,0.001395958,0.00008738466,0.001864562,0.1904735,0.00003641934,0.7921141,0.001070682,0.0005105745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01644831,0.00003267347,0.9791127,0.0004905727,0.0001236759,0.00006956302,0.0005647835,0.000004440729,0.003153251],"genre_scores_gemma":[0.6331859,0.000004426485,0.3665488,0.0001568452,0.00005638335,0.000001001255,0.000003560699,0.0000126296,0.00003039206],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6167377,"threshold_uncertainty_score":0.9178886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.157077238248698,"score_gpt":0.3464823557307497,"score_spread":0.1894051174820517,"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."}}