{"id":"W7017646101","doi":"","title":"BluMetric's Second Quarter Fiscal 2014 Results And Operational Update","year":2014,"lang":"en","type":"other","venue":"","topic":"European Monetary and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Payment; Government (linguistics); Economic forecasting","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":[0.01231594,0.001300365,0.001199272,0.01363348,0.001534038,0.008900298,0.002917718,0.001887961,0.08431963],"category_scores_gemma":[0.04999034,0.0007166666,0.0008106893,0.01600017,0.0008076102,0.003924954,0.00359719,0.002600229,0.07864788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008280615,"about_ca_system_score_gemma":0.01402151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1197556,"about_ca_topic_score_gemma":0.1032423,"domain_scores_codex":[0.9887303,0.001104122,0.0006798511,0.0005637177,0.007931596,0.0009904652],"domain_scores_gemma":[0.9626756,0.003363942,0.003268234,0.00285746,0.02540007,0.00243471],"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":[0.00005454816,0.00003592196,0.001471249,0.00005581235,0.000007229487,0.000008360423,0.00002359287,0.0002376389,0.00002599595,0.00192189,0.9813766,0.01478113],"study_design_scores_gemma":[0.00004339888,0.00001696647,0.01067688,0.0001483315,0.00001439028,0.00002826942,0.00008192177,0.0005377459,0.0004494593,0.002052692,0.9859232,0.00002680572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007900235,0.002651073,0.005237325,0.02493162,0.005859191,0.0003847916,0.5604228,0.007397849,0.3852151],"genre_scores_gemma":[0.03706105,0.003112893,0.01118717,0.006499744,0.002607095,0.0008054468,0.4580912,0.007220478,0.473415],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1197556,"threshold_uncertainty_score":0.2820773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450101567095254,"score_gpt":0.1909034859354272,"score_spread":0.1764024702644747,"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."}}