{"id":"W1978988201","doi":"10.1002/cjs.11177","title":"A linear transformation model for multivariate interval‐censored failure time data","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censoring (clinical trials); Bivariate analysis; Multivariate statistics; Inference; Statistics; Interval (graph theory); Computer science; Multivariate analysis; Econometrics; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0211894,0.0008376896,0.00160428,0.001970137,0.0004222983,0.001699826,0.003286283,0.001204516,0.007834474],"category_scores_gemma":[0.04867842,0.0004905517,0.002136228,0.002982229,0.001847561,0.002198007,0.001685114,0.003246589,0.00146496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727827,"about_ca_system_score_gemma":0.002511801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007022012,"about_ca_topic_score_gemma":0.004705897,"domain_scores_codex":[0.9915952,0.005588808,0.0003082425,0.00112137,0.0008609833,0.0005253477],"domain_scores_gemma":[0.9600332,0.03191173,0.002708421,0.00267671,0.002150343,0.0005196134],"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":[0.001394262,0.0004679174,0.02763683,0.0004556647,0.0005486293,0.001095263,0.001136025,0.4887554,0.002437613,0.3204175,0.006504539,0.1491504],"study_design_scores_gemma":[0.00009455143,0.0002965201,0.003900405,0.00004217671,0.00008268311,0.0001823425,0.0001088617,0.9066168,0.0004386113,0.08558264,0.002598913,0.00005552675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0366375,0.0002301624,0.9596915,0.0005470892,0.00007243136,0.0001917121,0.0008954179,0.0006089027,0.001125216],"genre_scores_gemma":[0.7845744,0.0005331783,0.2033028,0.00025625,0.0001707104,0.001068129,0.002716233,0.0002519094,0.007126519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0211894,"threshold_uncertainty_score":0.1120616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1943645237919808,"score_gpt":0.3527618146309632,"score_spread":0.1583972908389824,"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."}}