{"id":"W6980800873","doi":"","title":"Correlation adjusted penalization in regression analysis","year":2012,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Multicollinearity; Estimator; Correlation; Variance inflation factor; Linear regression; Regression; Regression analysis; Variable (mathematics); Feature selection","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01592902,0.00168223,0.00178864,0.001910553,0.0007406651,0.002633528,0.002191581,0.002080161,0.003994565],"category_scores_gemma":[0.05168374,0.0008862325,0.002093078,0.003210193,0.002630522,0.002740063,0.002738299,0.005013542,0.001469171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515175,"about_ca_system_score_gemma":0.001957385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848398,"about_ca_topic_score_gemma":0.001351766,"domain_scores_codex":[0.9824614,0.01190247,0.0007170234,0.001749152,0.002684798,0.0004851295],"domain_scores_gemma":[0.9622492,0.02813242,0.00202536,0.003378216,0.003801624,0.0004133006],"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":[0.0002519527,0.000183189,0.004623201,0.0009792446,0.0006144886,0.000346361,0.0005223564,0.212883,0.003201665,0.4628937,0.02313035,0.2903705],"study_design_scores_gemma":[0.0000584493,0.0001543675,0.001994385,0.0002354914,0.000104474,0.000232626,0.00006295513,0.7907407,0.002897443,0.1733459,0.03007262,0.0001005192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001979422,0.001159337,0.9943591,0.0004980084,0.0001638209,0.00005240472,0.00007064347,0.0001706842,0.001546627],"genre_scores_gemma":[0.1330288,0.004655191,0.8470404,0.001045141,0.00125006,0.0009711489,0.0006568579,0.0007537343,0.01059865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01592902,"threshold_uncertainty_score":0.08424169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241554095183509,"score_gpt":0.2045164356567721,"score_spread":0.192100894704937,"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."}}