{"id":"W4390372539","doi":"10.3917/reco.pr2.0141","title":"10.3917/reco.pr2.0141","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Political science; Welfare economics; Economy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001993221,0.00123097,0.0009107261,0.003060028,0.001187252,0.006253921,0.001296106,0.003228544,0.8394373],"category_scores_gemma":[0.005138287,0.0005357037,0.0008533327,0.003919555,0.001070672,0.002790842,0.001985663,0.00193388,0.8127142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215155,"about_ca_system_score_gemma":0.002190816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405868,"about_ca_topic_score_gemma":0.009954819,"domain_scores_codex":[0.9988411,0.0002526138,0.00009086894,0.0002837217,0.0003745086,0.0001572273],"domain_scores_gemma":[0.9967915,0.0007417962,0.0003519728,0.0006483762,0.001094731,0.0003715476],"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":[0.0004037226,0.0002645979,0.009310504,0.0005029153,0.00004579515,0.0002431855,0.0001306413,0.001810371,0.000663025,0.0235935,0.4938951,0.4691366],"study_design_scores_gemma":[0.00009384828,0.00006431744,0.006128704,0.0003016303,0.0000268934,0.000226848,0.0002731953,0.001613481,0.0004204481,0.006189978,0.9846283,0.00003224832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005227141,0.001517417,0.003275728,0.005202807,0.001549805,0.0001428641,0.02068613,0.00219003,0.9602081],"genre_scores_gemma":[0.02850422,0.00145399,0.001955075,0.001128421,0.0005045302,0.0001493132,0.009263351,0.001117728,0.9559235],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1605627,"threshold_uncertainty_score":0.2290232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320052773951641,"score_gpt":0.169590856175187,"score_spread":0.1363903284356706,"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."}}