{"id":"W7000371759","doi":"","title":"EnSync Energy Reports First Quarter of Fiscal Year 2019 Results","year":2018,"lang":"en","type":"other","venue":"","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Fiscal year; Economic forecasting; Energy consumption","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":[0.003372747,0.001302799,0.0007807022,0.00529915,0.001221185,0.006101606,0.001432258,0.001225752,0.2777317],"category_scores_gemma":[0.01573363,0.0004466076,0.001277213,0.005323465,0.000409162,0.002556559,0.001903,0.001862317,0.2124869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00347974,"about_ca_system_score_gemma":0.006644816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0711014,"about_ca_topic_score_gemma":0.07173289,"domain_scores_codex":[0.9957469,0.0003957312,0.0002222722,0.0002649259,0.002891119,0.0004789527],"domain_scores_gemma":[0.991028,0.001012113,0.0006218154,0.0007090088,0.006143382,0.0004857482],"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":[0.00007998772,0.00001897457,0.0006218501,0.0001223951,0.00001009822,0.00001257666,0.00001320114,0.0002760109,0.00005232162,0.002031326,0.9866819,0.01007928],"study_design_scores_gemma":[0.00003997336,0.00002058747,0.00408813,0.0002069145,0.00001918971,0.00001909396,0.0001288573,0.0005484333,0.0006475057,0.002404351,0.99185,0.00002680395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003382515,0.0009510576,0.00321378,0.005519257,0.004952569,0.0002194792,0.5392911,0.005711485,0.4367588],"genre_scores_gemma":[0.01934498,0.001591567,0.002724982,0.001824241,0.001024536,0.0005488131,0.4180344,0.006607702,0.5482988],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2777317,"threshold_uncertainty_score":0.9291053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008031064273964461,"score_gpt":0.238408365810759,"score_spread":0.2303773015367945,"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."}}