{"id":"W3100409811","doi":"10.1080/03610926.2020.1841793","title":"Asymmetric influence measure for high dimensional regression","year":2020,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Jewish General Hospital","funders":"","keywords":"Measure (data warehouse); Regression; Statistics; Regression analysis; Mathematics; Econometrics; Computer science; Data mining","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"],"consensus_categories":[],"category_scores_codex":[0.005439533,0.0001704671,0.0003720767,0.00008521795,0.0001857396,0.00003636095,0.0003172434,0.0001057759,0.00005777305],"category_scores_gemma":[0.05254413,0.0001415868,0.00002742006,0.0003204511,0.0002310457,0.00007656639,0.000191084,0.000301227,0.000002740448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002426567,"about_ca_system_score_gemma":0.00004726168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009072901,"about_ca_topic_score_gemma":0.000002251573,"domain_scores_codex":[0.9952966,0.003573068,0.0005007802,0.0002739946,0.0001592779,0.0001962654],"domain_scores_gemma":[0.9690189,0.02993679,0.0002064864,0.0004504065,0.0002439318,0.0001435273],"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":[0.0001725031,0.00003353178,0.0001013488,0.0001073602,0.00001025,6.074783e-7,0.0003817515,0.000005109691,0.0005098782,0.7519969,0.0004036784,0.2462771],"study_design_scores_gemma":[0.0005971278,0.0001134252,0.003239758,0.0001525387,0.00004349537,0.000002098256,0.00008606676,0.003774149,0.001085183,0.9901084,0.0006192368,0.0001785267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003294145,0.000977446,0.9942819,0.0004257023,0.00005734041,0.0003712722,0.0001527796,0.00004055517,0.0003988271],"genre_scores_gemma":[0.1462498,0.0001152172,0.8530046,0.0004491817,0.00001897887,0.000086999,0.0000180961,0.00001928798,0.00003785063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2460985,"threshold_uncertainty_score":0.9554367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338099605678571,"score_gpt":0.4696055415877906,"score_spread":0.3357955810199335,"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."}}