{"id":"W2409756006","doi":"","title":"Growing Amount of Evidence Points to Slowing Economic Activity in Austria","year":2016,"lang":"en","type":"article","venue":"WIFO Monatsberichte (monthly reports)","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business cycle; Economics; Contrast (vision); Monetary economics; Demographic economics; Agricultural economics; Macroeconomics; 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":[0.002576755,0.0003345059,0.0005893953,0.00315259,0.0003193165,0.002452889,0.0004342892,0.000882862,0.01295711],"category_scores_gemma":[0.009670596,0.0002295071,0.0005276107,0.004307223,0.0009206246,0.001387461,0.001371435,0.001150356,0.00244493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007294859,"about_ca_system_score_gemma":0.0005674001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736609,"about_ca_topic_score_gemma":0.004163434,"domain_scores_codex":[0.9985772,0.0004084566,0.0001843163,0.0003349464,0.0002802548,0.0002148083],"domain_scores_gemma":[0.9878249,0.004804751,0.005565148,0.0004034999,0.000969474,0.0004321976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001240953,0.0001607606,0.4707591,0.01226397,0.001306833,0.0006613304,0.001532889,0.0009494392,0.001047013,0.01057424,0.0288977,0.4706058],"study_design_scores_gemma":[0.00003436014,0.0001791391,0.8980557,0.005228295,0.0002733452,0.0003695533,0.001744443,0.0001580067,0.0005112529,0.002278847,0.09113968,0.00002730485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.524711,0.3292024,0.003173201,0.03235573,0.001617161,0.00007492819,0.01205543,0.0001286741,0.09668142],"genre_scores_gemma":[0.8512395,0.1358833,0.001033957,0.003267276,0.0006720981,0.00005209669,0.005387363,0.00004509952,0.002419431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01295711,"threshold_uncertainty_score":0.04334581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09260432734067868,"score_gpt":0.3483874088154554,"score_spread":0.2557830814747767,"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."}}