{"id":"W1767106723","doi":"10.1111/biom.12043","title":"A Natural Robustification of the Ordinary Instrumental Variables Estimator","year":2013,"lang":"en","type":"article","venue":"Biometrics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robustification; Instrumental variable; Estimator; Outlier; Asymptotic distribution; Robust statistics; Covariate; Robustness (evolution); Mathematics; Robust regression; Statistics; Applied mathematics; Econometrics; 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":[0.01723352,0.001149777,0.001899848,0.002090686,0.0005238663,0.001784737,0.003488453,0.001740643,0.003581243],"category_scores_gemma":[0.07852123,0.0008303915,0.002165937,0.002620398,0.002445067,0.002676524,0.00351526,0.003483679,0.001319992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006695885,"about_ca_system_score_gemma":0.001772803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213187,"about_ca_topic_score_gemma":0.0009372793,"domain_scores_codex":[0.9890961,0.007079949,0.0005089745,0.001622663,0.001387322,0.0003049435],"domain_scores_gemma":[0.9700925,0.01911971,0.003137554,0.005368473,0.002033799,0.0002479189],"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":[0.0001146732,0.00007484589,0.007700647,0.0004224514,0.0007267612,0.0001877952,0.0002777303,0.1281731,0.003304181,0.6959673,0.005583573,0.1574669],"study_design_scores_gemma":[0.0001271839,0.0001984881,0.003652902,0.0002178908,0.000183657,0.0003070376,0.00009597342,0.4959322,0.005546393,0.4656954,0.02790264,0.0001402114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001467639,0.0001192802,0.9974002,0.00013248,0.00003350932,0.00003251173,0.0001383298,0.0001555401,0.0005206604],"genre_scores_gemma":[0.1171502,0.0007415586,0.875941,0.0006070263,0.0003679365,0.0006822579,0.001199636,0.0004019932,0.002908391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01723352,"threshold_uncertainty_score":0.09114069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015126749665843,"score_gpt":0.380264245441485,"score_spread":0.2787515704749006,"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."}}