{"id":"W2179493321","doi":"10.15353/rea.v7i1.1482","title":"Guest Editorial: AMEF","year":2015,"lang":"en","type":"editorial","venue":"Review of Economic Analysis","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005749262,0.003083641,0.003014961,0.004008968,0.002340838,0.008774915,0.002269742,0.009112207,0.05322159],"category_scores_gemma":[0.02710734,0.0007935552,0.001791128,0.001467802,0.001335158,0.004203443,0.0022201,0.00981342,0.03691817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002410187,"about_ca_system_score_gemma":0.003354408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008521196,"about_ca_topic_score_gemma":0.002239371,"domain_scores_codex":[0.9954802,0.0006535908,0.0005563424,0.0006976481,0.002212873,0.000399441],"domain_scores_gemma":[0.9864861,0.00249178,0.001335303,0.0003518908,0.006726473,0.002608471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002004619,0.000004857549,0.00001254284,0.00009458415,0.000005146334,0.00004593917,0.000005169108,0.000006496548,0.00003275837,0.0001205464,0.9972526,0.002399348],"study_design_scores_gemma":[0.00004430527,0.00002285957,0.0002207778,0.0003627821,0.00002028894,0.0001513788,0.00002783635,0.00005131366,0.00008927983,0.0005419198,0.9984548,0.00001237005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002525572,0.00324471,0.00006535037,0.02660585,0.9680845,0.0000204283,0.00009459049,0.00003912268,0.001820224],"genre_scores_gemma":[0.0004878387,0.003987135,0.00008971551,0.02233753,0.9480566,0.00004265928,0.0001233597,0.0000698063,0.02480543],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05322159,"threshold_uncertainty_score":0.178044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05211113563924247,"score_gpt":0.2881148006832492,"score_spread":0.2360036650440067,"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."}}