{"id":"W2911310511","doi":"10.6084/m9.figshare.8865995","title":"Split Regularized Regression","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Regression; Statistics; Regression analysis; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009998478,0.0002801014,0.0005225734,0.00004922833,0.00006737674,0.00009060225,0.0003901887,0.0004458514,0.7157481],"category_scores_gemma":[0.03875834,0.0002170392,0.0001302196,0.0001382826,0.000007252941,0.00002489135,0.0003520762,0.0005216583,0.002982707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000350483,"about_ca_system_score_gemma":0.0001388022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005160466,"about_ca_topic_score_gemma":0.00000493376,"domain_scores_codex":[0.9984686,0.0002046617,0.0003259677,0.0003974224,0.000353575,0.0002497458],"domain_scores_gemma":[0.9965001,0.001984426,0.0002466902,0.0009660472,0.0001822423,0.0001204371],"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":[0.000004276106,0.00003515819,1.784736e-8,0.001359389,0.0000177392,0.0001267402,0.000002380835,7.478135e-9,0.000002006146,0.0002351874,0.9963808,0.001836301],"study_design_scores_gemma":[0.0001258705,0.00001906013,0.000006149303,0.009920385,0.0000388796,0.00001178509,0.000003688913,0.00001616962,0.00005146171,0.02152193,0.9680188,0.000265816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.610663e-8,0.0001614502,0.00003259634,0.00002743745,0.0001356884,0.0001740915,0.9987909,0.00004335381,0.0006344457],"genre_scores_gemma":[1.894425e-8,0.00001162639,0.05058801,0.000122474,0.0002503744,0.0001359656,0.9480869,0.00002428314,0.0007803936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7127655,"threshold_uncertainty_score":0.9977936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2109463554224679,"score_gpt":0.4229597377464969,"score_spread":0.2120133823240289,"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."}}