{"id":"W1988619277","doi":"10.1890/07-0986.1","title":"FORWARD SELECTION OF EXPLANATORY VARIABLES","year":2008,"lang":"en","type":"article","venue":"Ecology","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":2123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Univariate; Multivariate statistics; Selection (genetic algorithm); Variance (accounting); Variable (mathematics); Statistics; Econometrics; Feature selection; Model selection; Computer science; Mathematics; Artificial intelligence; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02403266,0.002645163,0.002541402,0.003338022,0.001476941,0.002385395,0.002588309,0.001322759,0.005607382],"category_scores_gemma":[0.0523564,0.0008212258,0.003715879,0.003306777,0.001308281,0.002398615,0.00377118,0.003043251,0.002213106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000673782,"about_ca_system_score_gemma":0.003091168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002405166,"about_ca_topic_score_gemma":0.002755374,"domain_scores_codex":[0.9842616,0.0111656,0.0004995962,0.001669089,0.001990756,0.0004132482],"domain_scores_gemma":[0.9727638,0.01947246,0.0012267,0.002955463,0.003277248,0.0003044326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007091601,0.0004441833,0.02883219,0.001177423,0.001954278,0.001049433,0.002059994,0.06612416,0.008469501,0.09091319,0.01043769,0.7878288],"study_design_scores_gemma":[0.0004377748,0.001265896,0.01447878,0.00082489,0.001185818,0.001081128,0.0006359756,0.5857958,0.01569257,0.323659,0.05452049,0.0004218746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0087881,0.0003730084,0.9878821,0.000378657,0.0003092549,0.0001783913,0.0002448041,0.0005552675,0.001290272],"genre_scores_gemma":[0.1471333,0.0009328353,0.8426843,0.0006430327,0.0004951507,0.00117986,0.001274878,0.0004312883,0.005225266],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02403266,"threshold_uncertainty_score":0.1270984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07268296521155287,"score_gpt":0.364527027550163,"score_spread":0.2918440623386102,"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."}}