{"id":"W1577796427","doi":"10.1007/s40953-018-0132-9","title":"Gini-PLS Regressions","year":2018,"lang":"en","type":"article","venue":"Journal of Quantitative Economics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Multicollinearity; Partial least squares regression; Econometrics; Statistics; Regression; Regression analysis; Ordinary least squares; 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":[0.009739755,0.001664379,0.00195141,0.002599278,0.001413745,0.003575759,0.003195746,0.001768891,0.02491941],"category_scores_gemma":[0.03831746,0.0008536718,0.002033585,0.004095942,0.0009194328,0.003174912,0.002366713,0.005573251,0.01252075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763351,"about_ca_system_score_gemma":0.002794907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007678944,"about_ca_topic_score_gemma":0.01310379,"domain_scores_codex":[0.9936068,0.003801774,0.000148472,0.001416504,0.0006603262,0.0003661769],"domain_scores_gemma":[0.9873482,0.00513221,0.0006559138,0.00477756,0.001720253,0.0003658351],"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":[0.0008567447,0.0004678216,0.04006457,0.0004007249,0.001645632,0.0002479273,0.0002974307,0.1765863,0.001203389,0.2197257,0.1867712,0.3717327],"study_design_scores_gemma":[0.0001017262,0.0001137612,0.01191852,0.00008991751,0.0002871817,0.0001772626,0.00012505,0.7774667,0.0020871,0.1710765,0.03647742,0.00007883269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08635339,0.003252398,0.8331508,0.004560024,0.001145896,0.0002938939,0.01651484,0.01201533,0.04271351],"genre_scores_gemma":[0.697464,0.001202439,0.2096084,0.001317405,0.0007798121,0.0002917133,0.02511193,0.005337339,0.05888692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02491941,"threshold_uncertainty_score":0.08336377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3460140279174991,"score_gpt":0.5176136114574434,"score_spread":0.1715995835399444,"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."}}