{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01474376,0.0009203228,0.002373797,0.001090389,0.000502213,0.001646989,0.003065821,0.001998688,0.002591503],"category_scores_gemma":[0.0305339,0.0005984777,0.001631852,0.001709004,0.002399746,0.002053024,0.002100809,0.003429656,0.0003150285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704714,"about_ca_system_score_gemma":0.001418031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007968657,"about_ca_topic_score_gemma":0.003390194,"domain_scores_codex":[0.9913862,0.005585387,0.000256782,0.001171707,0.001070929,0.0005289268],"domain_scores_gemma":[0.9660736,0.02912717,0.002021394,0.001518794,0.0008950184,0.0003640303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004164869,0.0001291261,0.009811196,0.0001525085,0.0002556442,0.000438816,0.0002818476,0.8524526,0.001359558,0.1072398,0.0008353433,0.02662715],"study_design_scores_gemma":[0.00002478956,0.00005896446,0.0009853843,0.00001000138,0.00003340028,0.00003429246,0.00001833113,0.9681777,0.0002031505,0.03014711,0.0002905337,0.00001642633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09863362,0.0005446598,0.8988984,0.0005630279,0.0000618792,0.00007899034,0.0002207405,0.0002684531,0.0007302731],"genre_scores_gemma":[0.9196408,0.0003188297,0.07586325,0.0001609302,0.00008514634,0.000285381,0.0002868897,0.0000797434,0.003278984],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01474376,"threshold_uncertainty_score":0.07797337,"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."}}