{"id":"W2141260650","doi":"10.1002/sim.2572","title":"Longitudinal variable selection by cross‐validation in the case of many covariates","year":2006,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Covariate; Computer science; Markov chain Monte Carlo; Variable (mathematics); Feature selection; Selection (genetic algorithm); Model selection; Markov chain; Scale (ratio); Variety (cybernetics); Econometrics; Marginal model; Statistics; Data mining; Machine learning; Regression analysis; Artificial intelligence; Mathematics; Bayesian probability","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":[],"consensus_categories":[],"category_scores_codex":[0.001842372,0.0001173898,0.0002860311,0.00009926294,0.00005315687,0.00001838826,0.0001086313,0.00006531724,0.0003525708],"category_scores_gemma":[0.003332297,0.00008137031,0.000009023495,0.0004520109,0.0001952335,0.0000414279,0.00001414712,0.0002130542,0.000001666899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004845655,"about_ca_system_score_gemma":0.00003185279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004510736,"about_ca_topic_score_gemma":0.0004828913,"domain_scores_codex":[0.9985288,0.0002738013,0.0006041268,0.0001786499,0.0002188816,0.0001957447],"domain_scores_gemma":[0.9955968,0.003927048,0.0001742589,0.0001533461,0.0001266884,0.00002182734],"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":[0.00002177203,0.0001277296,0.01022365,0.0001439057,0.000005056532,0.0001805699,0.0002177814,0.00001295975,0.0003688812,0.9783249,0.008783686,0.001589068],"study_design_scores_gemma":[0.0007014559,0.0001477146,0.01098012,0.00009757926,0.00003653433,0.0001520294,0.000147423,0.006441765,0.0002271411,0.9809102,0.00007285215,0.00008512051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01615401,0.00003868022,0.9812225,0.0000938536,0.0000994236,0.0002071628,0.0002078366,0.000009735952,0.001966847],"genre_scores_gemma":[0.3582006,0.000005918756,0.6415781,0.00002662614,0.00006680925,0.00001722262,0.00004315923,0.000008620769,0.00005292945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3420466,"threshold_uncertainty_score":0.6818913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04109148622515056,"score_gpt":0.401994049164912,"score_spread":0.3609025629397615,"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."}}