{"id":"W2125296802","doi":"10.1002/sim.5327","title":"An efficient alternative to the stratified Cox model analysis","year":2012,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gilead Sciences (Canada)","funders":"","keywords":"Stratum; Proportional hazards model; Statistics; Inference; Categorical variable; Sample size determination; Hazard ratio; Econometrics; Mathematics; Computer science; Confidence interval; Geology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008041374,0.0002257037,0.0008147889,0.0002390281,0.00008783435,0.00001859219,0.0004809946,0.00008660321,0.0005108204],"category_scores_gemma":[0.06838692,0.0001380192,0.00005312698,0.0009350548,0.0002921291,0.00003127956,0.00007115249,0.0003933195,0.00003087036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009291739,"about_ca_system_score_gemma":0.00004077506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000965689,"about_ca_topic_score_gemma":0.0001461291,"domain_scores_codex":[0.9962434,0.0009919598,0.001074523,0.0003483243,0.0008335674,0.0005082308],"domain_scores_gemma":[0.967865,0.03055121,0.0002370815,0.0007927823,0.0001778432,0.0003761183],"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":[0.00009905157,0.0003879805,0.0008566967,0.00003330328,0.0002476612,0.00001070439,0.004894448,0.02439259,0.00008498602,0.9584801,0.006471075,0.004041468],"study_design_scores_gemma":[0.0005349778,0.0001736485,0.001948494,0.00003209884,0.0006061092,7.618384e-7,0.0004565354,0.4038048,0.00005821269,0.5921779,0.0000561373,0.0001503066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01446406,0.00002739862,0.9812558,0.0008152237,0.0006363465,0.0005797285,0.0005600944,0.00003355452,0.001627737],"genre_scores_gemma":[0.4050617,0.000006937334,0.5939115,0.0004607529,0.0003986397,0.00004221956,0.00001069798,0.00001868934,0.00008897018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3905976,"threshold_uncertainty_score":0.9394605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5116409653596984,"score_gpt":0.6119579326220749,"score_spread":0.1003169672623765,"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."}}