{"id":"W3175670148","doi":"","title":"Simple and Reliable Estimators of Coefficients of Interest in a Model With High-Dimensional Confounding Effects","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Estimator; Mathematics; Statistics; Econometrics; Principal component analysis; Dimension (graph theory); Set (abstract data type); Regression analysis; Simple (philosophy); Sample size determination; Confounding; Linear regression; Computer science","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":[0.04858453,0.001598578,0.003017051,0.002730388,0.0006949204,0.00214434,0.002617357,0.003054266,0.003784409],"category_scores_gemma":[0.2575028,0.00115414,0.001774238,0.003693546,0.002480498,0.00359152,0.002570414,0.00398226,0.001317216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007320073,"about_ca_system_score_gemma":0.002122452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127437,"about_ca_topic_score_gemma":0.00186708,"domain_scores_codex":[0.9759693,0.01994124,0.0008325981,0.001509296,0.001488734,0.0002589541],"domain_scores_gemma":[0.801316,0.168753,0.009834532,0.01638985,0.003147997,0.0005586385],"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":[0.0005866068,0.0004774056,0.02527625,0.001727912,0.002000233,0.0007234335,0.0008679745,0.1163125,0.00347811,0.4973391,0.01160796,0.3396026],"study_design_scores_gemma":[0.0003960418,0.0003145307,0.009276686,0.0006093912,0.0005127269,0.0005565195,0.0002504823,0.2316986,0.00305852,0.7418845,0.01129189,0.0001500381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00513746,0.0006449463,0.9928148,0.0003513163,0.00004293514,0.0001740614,0.0001742834,0.0001577741,0.000502278],"genre_scores_gemma":[0.1353729,0.001169911,0.8593296,0.0004184414,0.0002070752,0.001194541,0.0007314645,0.0001277246,0.001448309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04858453,"threshold_uncertainty_score":0.2569426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707790353240724,"score_gpt":0.334566549469286,"score_spread":0.2774886459368788,"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."}}