{"id":"W2182435505","doi":"","title":"Measuring Sources of Identification in Nonlinear Econometric Models","year":2013,"lang":"en","type":"article","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Measure (data warehouse); Econometrics; Nonlinear system; Moment (physics); Identification (biology); Sensitivity (control systems); Econometric model; Computer science; Simple (philosophy); Linear model; Class (philosophy); Mathematics; Mathematical optimization; Applied mathematics; Machine learning; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02987878,0.001497741,0.002088055,0.00634759,0.001698016,0.003275265,0.002517544,0.003555302,0.002500381],"category_scores_gemma":[0.3068744,0.001139872,0.001789277,0.004230396,0.00598073,0.009032371,0.008404111,0.003564507,0.00039754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189915,"about_ca_system_score_gemma":0.001339361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377971,"about_ca_topic_score_gemma":0.0007287616,"domain_scores_codex":[0.977976,0.01229005,0.001514532,0.003479719,0.00380193,0.0009376859],"domain_scores_gemma":[0.5191271,0.411849,0.0350626,0.02531885,0.007201497,0.001440875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000544208,0.0001733444,0.07932005,0.0006847992,0.00090282,0.0008454971,0.001981687,0.5047234,0.002507085,0.3044027,0.001595682,0.1023187],"study_design_scores_gemma":[0.00003831926,0.0001816911,0.01249114,0.0001864554,0.0001829871,0.0003816337,0.0003195519,0.5576995,0.002751107,0.4240024,0.001633417,0.0001318442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1406968,0.001564621,0.8495541,0.001984124,0.00005571968,0.00006542145,0.0002002007,0.0003788952,0.005500145],"genre_scores_gemma":[0.9550774,0.00056815,0.04285675,0.0002194288,0.0001827987,0.0001023117,0.0002433211,0.00009799918,0.0006518656],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02987878,"threshold_uncertainty_score":0.158016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.156669439288724,"score_gpt":0.2132298557182782,"score_spread":0.05656041642955423,"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."}}