{"id":"W753476842","doi":"","title":"Economy Improving at Modest Pace. Business Cycle Report of December 2013","year":2013,"lang":"en","type":"article","venue":"Austrian Economic Quarterly","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Quarter (Canadian coin); Business cycle; Economics; Benchmark (surveying); Macroeconomics; Monetary economics; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.001885156,0.001135239,0.0006834819,0.001695292,0.001104122,0.003317308,0.0007783523,0.002140521,0.01539044],"category_scores_gemma":[0.006158528,0.0004534037,0.0006247682,0.003277972,0.0002802462,0.002076991,0.001548838,0.002411985,0.01680493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003394444,"about_ca_system_score_gemma":0.01595713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1056437,"about_ca_topic_score_gemma":0.1034257,"domain_scores_codex":[0.9986738,0.00009060495,0.000118943,0.0001083037,0.0007345609,0.000273897],"domain_scores_gemma":[0.9976944,0.0001015038,0.0001828688,0.0000999761,0.001651384,0.0002697816],"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":[0.0001143372,0.00002849837,0.001183705,0.0002007949,0.00001575758,0.00004283508,0.00003598294,0.0001644337,0.0001938929,0.002411415,0.9666266,0.02898174],"study_design_scores_gemma":[0.00004415664,0.00004428535,0.02944154,0.000235014,0.00002576196,0.00005494686,0.00008478184,0.0002264165,0.0005568704,0.0008420823,0.9684202,0.00002403614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01402944,0.04468338,0.0037421,0.1254015,0.03128399,0.0006281378,0.4402648,0.003602988,0.3363637],"genre_scores_gemma":[0.1196124,0.05988578,0.007839841,0.02550212,0.005218293,0.0008390108,0.2930765,0.001451764,0.4865743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1056437,"threshold_uncertainty_score":0.2100576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775014107123772,"score_gpt":0.2619759673567009,"score_spread":0.2442258262854631,"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."}}