{"id":"W2286729808","doi":"10.1177/1471082x1001100304","title":"Variable selection in additive models by non-negative garrote","year":2011,"lang":"en","type":"article","venue":"Statistical Modelling","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Selection (genetic algorithm); Feature selection; Variable (mathematics); Computer science; Model selection; Mathematical optimization; Parametric statistics; Series (stratigraphy); Econometrics; Machine learning; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001825088,0.0001060574,0.0001255024,0.00002687839,0.00007779584,0.00001841229,0.0001155436,0.00006230659,0.01482499],"category_scores_gemma":[0.00003843745,0.0001033539,0.00001328481,0.0002373769,0.0001356355,0.0002725124,0.0001002099,0.0002546104,0.0001293266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252025,"about_ca_system_score_gemma":0.00001576383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009115142,"about_ca_topic_score_gemma":0.0001291817,"domain_scores_codex":[0.99885,0.00005427711,0.0001771387,0.0003109125,0.000243635,0.000364078],"domain_scores_gemma":[0.9996502,0.0001220622,0.0000252559,0.00007399104,0.00001360325,0.0001148924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001500209,0.001599625,0.01382921,0.00009064993,0.00009911424,0.0001323929,0.01324821,0.543348,0.003003391,0.2857382,0.03058436,0.1068266],"study_design_scores_gemma":[0.0001488134,0.00006912045,0.0001643314,0.00000348718,0.000002776115,7.694324e-7,0.00005164399,0.8099225,0.0002866732,0.1888188,0.0004224042,0.0001086623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001313847,6.075653e-7,0.6760688,0.000005597988,0.00001031023,0.0001267873,0.0000535848,0.00001129454,0.3224092],"genre_scores_gemma":[0.6357531,0.00001175724,0.3623942,0.00006007046,0.00001458137,0.00005750284,0.00002427745,0.00001773951,0.001666819],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6344392,"threshold_uncertainty_score":0.9974833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270197921753465,"score_gpt":0.2404848482428439,"score_spread":0.2077828690253092,"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."}}