{"id":"W2053678156","doi":"10.6000/1929-6029.2014.03.03.5","title":"Improved Ridge Regression Estimators for Binary Choice Models: An Empirical Study","year":2014,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multicollinearity; Estimator; Ridge; Mean squared error; Statistics; Mathematics; Regression analysis; Regression; Econometrics; Linear regression; Variables; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01211063,0.0001665195,0.0004669387,0.0004865285,0.0001021472,0.00007152608,0.001046427,0.0001525806,0.0001063457],"category_scores_gemma":[0.08521034,0.0001220641,0.00006436361,0.0001860675,0.0002538259,0.0002603595,0.000219204,0.001220845,0.000001509374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238058,"about_ca_system_score_gemma":0.000401179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000440623,"about_ca_topic_score_gemma":0.00008695377,"domain_scores_codex":[0.9936154,0.001145945,0.001138281,0.0003086445,0.003357123,0.0004346285],"domain_scores_gemma":[0.9746801,0.02195461,0.0002914314,0.0002294624,0.002309786,0.000534668],"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":[0.002031493,0.005682352,0.002577198,0.0001650012,0.0001946926,0.0008064843,0.001881324,0.0005866596,0.0002692537,0.3512747,0.01003871,0.6244921],"study_design_scores_gemma":[0.001675226,0.001262615,0.0004577634,0.0001726532,0.00001058475,0.00002238111,0.0002344722,0.4594498,0.00001772897,0.5360393,0.0005741921,0.00008327167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06079936,0.00002493181,0.9372557,0.0007748643,0.0005373771,0.000353926,0.0001142043,0.000009888558,0.000129701],"genre_scores_gemma":[0.3509264,0.00004360275,0.6482888,0.0001008648,0.0005081447,0.00003437725,0.00001133662,0.00003267311,0.00005375714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6244088,"threshold_uncertainty_score":0.9224953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3596270462550353,"score_gpt":0.6333091455539752,"score_spread":0.2736820992989399,"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."}}