{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000518017,0.0001372658,0.0003194207,0.0001272924,0.00009502564,0.00008706831,0.0004304902,0.00008027178,0.0005033025],"category_scores_gemma":[0.004486451,0.0001161539,0.00004323965,0.00007054472,0.00007366144,0.0002786072,0.00001371553,0.0002054486,0.00003433276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008467964,"about_ca_system_score_gemma":0.0006272168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007777784,"about_ca_topic_score_gemma":0.002230741,"domain_scores_codex":[0.9987094,0.00006411648,0.0006582225,0.0001180875,0.0001538187,0.0002963133],"domain_scores_gemma":[0.997252,0.0009654277,0.0002839138,0.0002739831,0.0007196563,0.0005049686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004924864,0.00006209585,0.0000329207,0.000391491,0.0001972107,0.00003122912,0.003724521,0.0004477909,0.0005884863,0.620012,0.3028816,0.07158142],"study_design_scores_gemma":[0.0003809015,0.00008314955,0.00005168045,0.00006581462,0.00006606951,0.00001776304,0.00009476158,0.6663671,0.00002227775,0.3314954,0.001250901,0.0001041509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009319496,0.00001362218,0.9917693,0.0006521519,0.000120652,0.0003035777,0.006016538,0.000006252592,0.0001860041],"genre_scores_gemma":[0.03780944,0.000003454624,0.9616281,0.0001314452,0.00009137975,0.00000597362,0.00008303016,0.00002603836,0.0002210799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6659193,"threshold_uncertainty_score":0.5510809,"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."}}