{"id":"W2113670824","doi":"10.1111/j.1368-423x.2008.00247.x","title":"Bootstrap inference in a linear equation estimated by instrumental variables","year":2008,"lang":"en","type":"article","venue":"Econometrics Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Instrumental variable; Inference; Econometrics; Library science; Sociology; Computer science; Economics; Artificial intelligence","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":[0.0008524167,0.0001334979,0.0002718797,0.0005522721,0.0001166008,0.0000631125,0.0001815374,0.00008843394,0.0008942611],"category_scores_gemma":[0.008430351,0.0001248304,0.0000431173,0.0008539135,0.00006478656,0.0002415589,0.00003784533,0.0003980287,0.0000354314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582101,"about_ca_system_score_gemma":0.0001158785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002177502,"about_ca_topic_score_gemma":0.000001740527,"domain_scores_codex":[0.9986594,0.0000964629,0.0006186769,0.000162251,0.0001863222,0.0002769361],"domain_scores_gemma":[0.9973627,0.002028916,0.0002540917,0.0001162297,0.0000804734,0.0001576117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001361743,0.002072738,0.5374914,0.0001597104,0.000185084,0.0002980563,0.001746503,0.0008889976,0.001018499,0.2810651,0.01188852,0.1630493],"study_design_scores_gemma":[0.002816139,0.0005794196,0.05476169,0.0001678039,0.0000344728,0.000500162,0.0001491317,0.1591015,0.00124084,0.7786052,0.001321945,0.0007216799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.495263,0.0001228487,0.5014602,0.00005805623,0.000277132,0.00008913789,0.00003651989,0.00002164989,0.002671403],"genre_scores_gemma":[0.7082719,0.0002358366,0.2912939,0.0000441725,0.00005069247,0.000004282824,0.00000501907,0.00001144804,0.00008270286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4975401,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3436461324905379,"score_gpt":0.4059698372335064,"score_spread":0.0623237047429685,"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."}}