{"id":"W1600680347","doi":"","title":"Economic Indicators in Industry Stabilised at Low Level. Business Cycle Report of June 2009","year":2009,"lang":"en","type":"article","venue":"Austrian Economic Quarterly","topic":"Education in Diverse Contexts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Quarter (Canadian coin); Recession; Unemployment rate; Economics; Unemployment; Industrial production; Economic indicator; Seasonal adjustment; Demographic economics; Agricultural economics; Keynesian economics; Macroeconomics; Mathematics; 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":[0.001466773,0.001042436,0.0006656573,0.00563305,0.0004398069,0.001852651,0.0006273576,0.001069955,0.006684582],"category_scores_gemma":[0.004454673,0.0003619618,0.0005961932,0.008032686,0.000180884,0.001461443,0.0007937571,0.001340465,0.008805485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221741,"about_ca_system_score_gemma":0.002368977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04452805,"about_ca_topic_score_gemma":0.03710011,"domain_scores_codex":[0.9985765,0.0001128559,0.0002340353,0.0002245916,0.0006326229,0.0002194314],"domain_scores_gemma":[0.9956111,0.0002301982,0.0009423725,0.0001306419,0.002911044,0.000174712],"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":[0.0004570548,0.0001563454,0.08152649,0.001200601,0.0001232424,0.0001183449,0.0001964462,0.001107232,0.0006207675,0.005892805,0.8514795,0.0571211],"study_design_scores_gemma":[0.00005307495,0.000097797,0.4965692,0.0003376942,0.00004829972,0.0001224798,0.000184375,0.0008299825,0.001021538,0.0006249283,0.5000769,0.00003370536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04087426,0.01050843,0.001643185,0.003202769,0.002331969,0.0004157654,0.8687378,0.001008948,0.07127683],"genre_scores_gemma":[0.1592852,0.006653883,0.003212207,0.0009595505,0.0004889898,0.0007749094,0.7629022,0.000285122,0.06543799],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04452805,"threshold_uncertainty_score":0.08853769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503336882778161,"score_gpt":0.3002581783463885,"score_spread":0.2752248095186068,"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."}}