{"id":"W7028402505","doi":"","title":"EnSync Energy Reports Third Quarter Fiscal Year 2018 Results","year":2018,"lang":"en","type":"other","venue":"","topic":"Biomedical and Chemical Research","field":"Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002001831,0.0002384272,0.0004489147,0.0001550157,0.00001956483,0.00001489829,0.0001252971,0.0008932722,0.03822267],"category_scores_gemma":[0.0002600411,0.0001495148,0.0001575717,0.0001564863,0.0003923877,0.0000100597,0.0001104153,0.0003169554,0.002861916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004155768,"about_ca_system_score_gemma":0.0001177609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004504254,"about_ca_topic_score_gemma":0.0000799993,"domain_scores_codex":[0.9976861,0.00002540043,0.0003942105,0.0005801099,0.0008770389,0.0004371359],"domain_scores_gemma":[0.9985038,0.00005267177,0.0001110658,0.0007495221,0.00005561185,0.0005273308],"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":[0.0001457526,0.0001135751,0.00003044535,0.00007684952,0.00009037214,0.0004239391,0.000007356082,1.285261e-10,0.0004112,0.00009028933,0.9969953,0.001614903],"study_design_scores_gemma":[0.0006703002,0.0002906032,0.00003998053,0.000331892,0.00003763267,0.0001106868,0.00001287289,0.000003620165,0.001444637,0.0002344127,0.9966429,0.0001804215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001529926,0.0001676813,0.00008710901,0.003948397,0.0004888502,0.0001189908,0.00001814879,0.0002235899,0.9949319],"genre_scores_gemma":[0.0004486727,0.000168284,0.0006378476,0.001010945,0.003260313,0.00001267112,0.0002858563,0.0001740149,0.9940014],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03536075,"threshold_uncertainty_score":0.9979145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658583795479032,"score_gpt":0.2929840484661835,"score_spread":0.2763982105113931,"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."}}