{"id":"W4229830423","doi":"10.1002/9780471773757.ch9","title":"Ridge Regression","year":2005,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Ridge; Estimator; Regression; Statistics; Mathematics; Regression analysis; Covariance matrix; Covariance; Bayesian probability; Geology; Paleontology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001048123,0.0002105407,0.0003090121,0.00008295223,0.000023758,0.00002937253,0.0000700474,0.0002516085,0.0006152235],"category_scores_gemma":[0.00005378227,0.0001933182,0.00001856964,0.00007124215,0.00009677032,0.00003952043,0.0000201142,0.00022273,0.00002540759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005687688,"about_ca_system_score_gemma":0.00001356132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008093421,"about_ca_topic_score_gemma":0.002879535,"domain_scores_codex":[0.9992259,0.00004388033,0.0002509529,0.0001987205,0.0001080448,0.0001725423],"domain_scores_gemma":[0.9996303,0.00003296038,0.00004264094,0.0002282605,0.00001075302,0.00005509454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005718714,0.00005675799,0.0005278485,0.002745978,0.00006972376,0.00002852675,0.0004720844,0.0006159251,0.0000360851,0.01650967,0.7495387,0.2293415],"study_design_scores_gemma":[0.0002591215,0.00003406619,0.0001291344,0.0004840217,0.000009412345,0.00001007511,0.00003156947,0.006975629,0.000007027302,0.00178847,0.9900171,0.0002543892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004903327,0.02424551,0.028148,0.0001477724,0.004964024,0.002244613,0.005167597,0.002341434,0.9322507],"genre_scores_gemma":[0.01163299,0.01944784,0.08413105,0.0001177893,0.001568768,0.0004368556,0.0004605531,0.001195175,0.881009],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2404784,"threshold_uncertainty_score":0.7883287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007414773749636247,"score_gpt":0.2181214941168167,"score_spread":0.2107067203671804,"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."}}