{"id":"W1867452333","doi":"10.1111/j.1468-2354.2011.00635.x","title":"ESTIMATION AND INFERENCE BY THE METHOD OF PROJECTION MINIMUM DISTANCE: AN APPLICATION TO THE NEW KEYNESIAN HYBRID PHILLIPS CURVE*","year":2011,"lang":"en","type":"article","venue":"International Economic Review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Mathematics; Inference; Projection (relational algebra); Nonlinear system; Representation (politics); Applied mathematics; Statistical inference; Path (computing); Mathematical optimization; Algorithm; Statistics; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009831549,0.0001337838,0.0002935482,0.00006680498,0.0000699261,0.0000452674,0.0004400152,0.00003110347,0.0003296982],"category_scores_gemma":[0.00009403901,0.0001051359,0.0000724581,0.00005109257,0.00004156055,0.0004214204,0.00004668575,0.00008493051,0.0002906733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023708,"about_ca_system_score_gemma":0.00002394158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319016,"about_ca_topic_score_gemma":0.0001165765,"domain_scores_codex":[0.9987506,0.00003738522,0.000730739,0.0003262671,0.00002412412,0.0001308474],"domain_scores_gemma":[0.9988899,0.0000736513,0.0005711202,0.0003803481,0.000009998562,0.0000750019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008635191,0.0001304932,0.00925486,0.0002783288,0.0002704747,2.867596e-7,0.002091251,0.002676899,0.00001879256,0.2128255,0.04092249,0.7314443],"study_design_scores_gemma":[0.000408321,0.0001373918,0.01114508,0.0002029376,0.0000393982,0.0000432863,0.00004653607,0.3844036,0.0002421654,0.05459601,0.5483216,0.0004137544],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06812246,0.02039544,0.8648807,0.02268567,0.001160669,0.002631032,0.0008664734,0.00004964784,0.01920795],"genre_scores_gemma":[0.986477,0.00774805,0.003172212,0.001698413,0.0001749887,0.0001312024,0.00009112218,0.00001718501,0.0004898572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9183545,"threshold_uncertainty_score":0.4287316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.084743953457131,"score_gpt":0.3160185018316843,"score_spread":0.2312745483745534,"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."}}