{"id":"W6924363466","doi":"10.15456/jae.2022326.0657853618","title":"GMM with Multiple Missing Variables (replication data)","year":2016,"lang":"en","type":"other","venue":"ZBW Journal Data Archive","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Estimator; Generalized method of moments; Instrumental variable; Moment (physics); Monte Carlo method; Method of moments (probability theory); Standard error; Function (biology)","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":[0.03463621,0.0009410183,0.002059309,0.001185639,0.0006974859,0.001924525,0.003458661,0.002432584,0.006272398],"category_scores_gemma":[0.1059415,0.0008146989,0.002090606,0.002532025,0.00151651,0.00252064,0.002092471,0.001852373,0.00190831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112189,"about_ca_system_score_gemma":0.002225941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00630282,"about_ca_topic_score_gemma":0.00365134,"domain_scores_codex":[0.9826125,0.01308238,0.0005077975,0.002149775,0.001261401,0.0003860983],"domain_scores_gemma":[0.9558463,0.02564404,0.003798987,0.01288127,0.001589524,0.0002399786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000334348,0.0001723149,0.02295227,0.0005864491,0.0007179067,0.0008863012,0.001022876,0.163714,0.001591159,0.6526802,0.009983021,0.1453591],"study_design_scores_gemma":[0.0001688359,0.0002043991,0.008428704,0.0001710599,0.0002568344,0.0005165438,0.0003187397,0.526487,0.002400557,0.4400796,0.02084138,0.0001263466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.02178296,0.0004654856,0.9728705,0.0007547939,0.0001265661,0.0002492137,0.000873058,0.0004884936,0.002388867],"genre_scores_gemma":[0.37473,0.0006557209,0.6171522,0.0002981788,0.0002261651,0.00129868,0.001377268,0.0002242138,0.004037587],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03463621,"threshold_uncertainty_score":0.183176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157980681415222,"score_gpt":0.2834073875658336,"score_spread":0.1676093194243114,"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."}}