{"id":"W7101053680","doi":"","title":"THIS DRAFT","year":2008,"lang":"en","type":"article","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Correlation; Multivariate statistics; Stability (learning theory); Contrast (vision); Real gross domestic product","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001718331,0.000810614,0.0008819157,0.001824934,0.001959516,0.005990887,0.001867923,0.002777752,0.6392025],"category_scores_gemma":[0.01256507,0.0004461946,0.0009656661,0.002208075,0.0007324063,0.004009339,0.002488087,0.002487484,0.4255223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236286,"about_ca_system_score_gemma":0.003319488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006483629,"about_ca_topic_score_gemma":0.005848702,"domain_scores_codex":[0.9985311,0.0003192454,0.0001046787,0.0003735932,0.0005062532,0.0001651104],"domain_scores_gemma":[0.9961829,0.0006706634,0.0001631717,0.0008599297,0.001803817,0.0003196494],"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":[0.00005808231,0.00004718124,0.0008010105,0.0002148754,0.00001663305,0.00009364087,0.0002370159,0.000342445,0.0001487669,0.07885356,0.8274568,0.09172989],"study_design_scores_gemma":[0.0000126485,0.000015592,0.0005429839,0.0001182996,0.000008373536,0.00006786431,0.0001158242,0.0002189427,0.00008700257,0.0131812,0.9856231,0.000008205628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002018576,0.00259202,0.01163371,0.01840239,0.01041578,0.0003484749,0.0165464,0.001749887,0.9362928],"genre_scores_gemma":[0.02628426,0.003126977,0.005688156,0.004794753,0.002543709,0.0003113602,0.0171407,0.001244906,0.9388651],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3607975,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234345631754213,"score_gpt":0.2101754655876096,"score_spread":0.08674090241218832,"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."}}