{"id":"W2060337608","doi":"10.1080/03610918.2014.920877","title":"Permutation Methods for Comparing the Accuracy of Nested Prediction Models in Survival Analysis","year":2014,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Queen's University","funders":"","keywords":"Permutation (music); Resampling; Covariate; Computer science; Sample size determination; Computation; Data mining; Statistics; Algorithm; Artificial intelligence; Machine learning; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09260007,0.001825948,0.001975529,0.003031482,0.001121667,0.001990869,0.003070073,0.002284597,0.003830658],"category_scores_gemma":[0.4402707,0.0008671382,0.002751528,0.002863815,0.004689032,0.003571449,0.003369832,0.004849412,0.0006584611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242202,"about_ca_system_score_gemma":0.003263448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001886168,"about_ca_topic_score_gemma":0.001598516,"domain_scores_codex":[0.905269,0.08361528,0.002386142,0.003157521,0.005078059,0.0004941037],"domain_scores_gemma":[0.5329149,0.4257232,0.009170611,0.02696044,0.004279503,0.000951295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002290682,0.0005094183,0.02792134,0.001130955,0.003361232,0.0007008277,0.0007803512,0.3503639,0.003254275,0.1954608,0.008233558,0.4059927],"study_design_scores_gemma":[0.0004161298,0.0008468251,0.003182229,0.000105333,0.000237194,0.0002456999,0.00006738312,0.6731845,0.002223365,0.317218,0.002177594,0.00009575509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01112395,0.0004529217,0.9862009,0.0004835472,0.0001652265,0.0002402547,0.000209669,0.0004601604,0.0006634156],"genre_scores_gemma":[0.3618068,0.0007802037,0.6317677,0.0005865501,0.0003304072,0.002380675,0.001099048,0.0004774783,0.0007711725],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09260007,"threshold_uncertainty_score":0.4897218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7745191346689994,"score_gpt":0.6710572868435637,"score_spread":0.1034618478254357,"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."}}