{"id":"W2171902472","doi":"10.2139/ssrn.1639543","title":"Further Results on the Limiting Distribution of GMM Sample Moment Conditions","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sample (material); Moment (physics); Mathematics; Distribution (mathematics); Limiting; Statistics; Econometrics; Statistical physics; Mathematical analysis; Physics; Thermodynamics; Engineering; Classical mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.008998604,0.00009680274,0.0001386358,0.00006735887,0.0002451654,0.00004819702,0.0003789283,0.00004486695,0.0000677075],"category_scores_gemma":[0.00432555,0.00005258454,0.0001061031,0.0003021657,0.00008422961,0.0001421521,0.00003107792,0.0006957873,0.00006007285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003631384,"about_ca_system_score_gemma":0.0003413951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001177325,"about_ca_topic_score_gemma":0.00001126199,"domain_scores_codex":[0.9974324,0.0001853868,0.000488046,0.0001240117,0.0006655797,0.001104621],"domain_scores_gemma":[0.997313,0.001895595,0.0002759091,0.0002821733,0.0001568128,0.00007655434],"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":[0.00004873998,0.00009941266,0.0006205837,9.093258e-7,0.00004939867,2.302804e-7,0.000349069,0.003347813,0.0001783714,0.988221,0.002309225,0.004775242],"study_design_scores_gemma":[0.0006046378,0.0003816876,0.008613342,0.00004037152,0.00003772702,0.0001035374,0.004215052,0.001796544,0.0005032525,0.9731097,0.01040687,0.0001872634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2544768,0.0007774938,0.7359316,0.006557536,0.0005430724,0.0002016092,0.0001407818,0.00002845942,0.001342611],"genre_scores_gemma":[0.9990427,0.0001047948,0.0001320184,0.00004035414,0.0002432508,0.000004774409,0.00001067673,0.000007097463,0.00041427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.744566,"threshold_uncertainty_score":0.51784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06177230345320511,"score_gpt":0.3141639663516956,"score_spread":0.2523916628984905,"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."}}