{"id":"W1574475632","doi":"","title":"Darkening Sentiment. Business Cycle Report of June 2008","year":2008,"lang":"en","type":"article","venue":"Austrian Economic Quarterly","topic":"German Economic Analysis & Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business cycle; Economics; Keynesian economics; Economic history; Agricultural economics; Demographic economics; History; Archaeology","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":[0.0008810624,0.001072366,0.000513669,0.00289072,0.0003977536,0.001911676,0.0004524481,0.001192362,0.02035824],"category_scores_gemma":[0.003479289,0.0004066083,0.0003525342,0.003421011,0.0001033474,0.001318266,0.0006623341,0.001270434,0.02815364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156223,"about_ca_system_score_gemma":0.00183155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03162514,"about_ca_topic_score_gemma":0.0280637,"domain_scores_codex":[0.9994536,0.00004235699,0.00006664846,0.00008952372,0.0002523049,0.00009551769],"domain_scores_gemma":[0.998284,0.0000965658,0.0003311888,0.00006801838,0.001129888,0.0000903734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001025666,0.0000193365,0.002320437,0.0001813454,0.00001092676,0.00002132832,0.00002266706,0.00013081,0.00008544356,0.000840694,0.9726198,0.02364477],"study_design_scores_gemma":[0.00004714686,0.00004665178,0.05396181,0.0003730587,0.00003455349,0.00004040854,0.00005509588,0.0003529784,0.0004505427,0.0005500974,0.9440661,0.00002149637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01133345,0.01802915,0.00113331,0.01118471,0.005684637,0.0003269374,0.8328037,0.001338418,0.1181657],"genre_scores_gemma":[0.06274658,0.01883595,0.002657423,0.004173166,0.001967964,0.0008287117,0.7165111,0.000706607,0.1915725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03162514,"threshold_uncertainty_score":0.0681051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024042401382312,"score_gpt":0.2175006853946232,"score_spread":0.1934582840123112,"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."}}