{"id":"W7010709602","doi":"","title":"Just Energy to Announce Third Quarter Fiscal 2019 Results - Earnings News (EARNINGS) News","year":2019,"lang":"en","type":"other","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Energy (signal processing); Fiscal year","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001281262,0.0008340743,0.0004536078,0.001361561,0.002056088,0.00707812,0.0008055876,0.004972379,0.3828524],"category_scores_gemma":[0.006508255,0.000368728,0.0008067226,0.0008667215,0.0005588247,0.001924177,0.001943688,0.004459169,0.3001843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889507,"about_ca_system_score_gemma":0.003544999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02745024,"about_ca_topic_score_gemma":0.06776507,"domain_scores_codex":[0.9990112,0.00006858321,0.00003145369,0.00005654287,0.0005414097,0.000290857],"domain_scores_gemma":[0.996949,0.0003064155,0.0001624916,0.0001495331,0.001254128,0.001178367],"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":[0.00001626153,0.000008473753,0.00006511856,0.000005728282,7.927334e-7,0.00001422755,0.000002696012,0.000005433768,0.00001530304,0.000392568,0.9958472,0.00362607],"study_design_scores_gemma":[0.0000193462,0.00001472904,0.0009608643,0.00004654537,0.000002655721,0.00001638941,0.0000496229,0.00004286603,0.00007926889,0.000583771,0.9981748,0.000009188027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001462885,0.001763836,0.000474611,0.1046256,0.08773025,0.0001255655,0.01334301,0.002051058,0.7884232],"genre_scores_gemma":[0.002696271,0.0005439199,0.0001400939,0.01251481,0.004978578,0.00003105214,0.002857333,0.0003117752,0.9759261],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3828524,"threshold_uncertainty_score":0.8802862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516711864518143,"score_gpt":0.262721219325724,"score_spread":0.2475541006805425,"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."}}