{"id":"W2319162268","doi":"10.1142/9781860949531_0011","title":"IMPROVED FINITE-SAMPLE INFERENCE IN OVERIDENTIFIED MODELS WITH WEAK INSTRUMENTS","year":2002,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Inference; Sample (material); Computer science; Artificial intelligence; Physics","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":[0.05745896,0.002060119,0.004275979,0.002375203,0.001313672,0.004249598,0.005768565,0.003110091,0.005017304],"category_scores_gemma":[0.2251034,0.002857927,0.002668242,0.002607802,0.00434297,0.00925636,0.004897898,0.007667514,0.0007215628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766788,"about_ca_system_score_gemma":0.003569535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596441,"about_ca_topic_score_gemma":0.004103221,"domain_scores_codex":[0.9734169,0.02058765,0.001198969,0.002632511,0.001564152,0.0005999263],"domain_scores_gemma":[0.6542474,0.3158302,0.006130753,0.01815149,0.004377346,0.001262833],"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":[0.0007189914,0.000205936,0.004259222,0.000702546,0.001088012,0.0005465132,0.0006990817,0.3148497,0.001083278,0.5899389,0.003280587,0.08262724],"study_design_scores_gemma":[0.00008536554,0.0000536704,0.0004220353,0.00004607278,0.000126747,0.000059201,0.00003593754,0.5862944,0.0005096782,0.4113235,0.001005817,0.00003766664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004913343,0.0002816362,0.9937853,0.0003485187,0.00005842155,0.00001669579,0.00007255393,0.0001748167,0.0003487328],"genre_scores_gemma":[0.315685,0.001152293,0.6747684,0.0009053178,0.0006991409,0.0003190078,0.0008957366,0.0004377156,0.005137387],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05745896,"threshold_uncertainty_score":0.3038756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1494947014325282,"score_gpt":0.3468474933408559,"score_spread":0.1973527919083277,"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."}}