{"id":"W7014617140","doi":"","title":"Q3 2020 Earnings Estimate for Power Co. of Canada (POW.TO) (TSE:POW) Issued By Desjardins","year":2020,"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":"Earnings; Power (physics); Estimation; Margin (machine learning)","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":[0.001516126,0.0008167384,0.0005357279,0.00477577,0.001305617,0.002941663,0.001131539,0.000953708,0.1285422],"category_scores_gemma":[0.008852592,0.0004095589,0.0007249677,0.005447952,0.0003741429,0.001175493,0.0009491732,0.001527977,0.04688432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01190349,"about_ca_system_score_gemma":0.02880891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9023826,"about_ca_topic_score_gemma":0.8765162,"domain_scores_codex":[0.9972199,0.0000828749,0.000103011,0.0001230261,0.002093917,0.0003771426],"domain_scores_gemma":[0.9879128,0.0003371901,0.0003152532,0.0001391863,0.01080977,0.0004858035],"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":[0.00003184645,0.000006036743,0.001150873,0.00007934458,0.000006630622,0.0000128334,0.00001644868,0.0002494647,0.00003516813,0.002568837,0.9883808,0.007461702],"study_design_scores_gemma":[0.00003102603,0.00001400088,0.01641325,0.0001694629,0.00001390469,0.00003064574,0.0001612892,0.0008198251,0.0003831889,0.001051446,0.9808791,0.00003288222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002765545,0.001012681,0.001604558,0.003860637,0.0014845,0.0002288,0.8153371,0.0009713164,0.1727348],"genre_scores_gemma":[0.03465039,0.002619759,0.004494048,0.002381911,0.0004309818,0.0004905062,0.4761349,0.001586625,0.4772109],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1285422,"threshold_uncertainty_score":0.4300166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006535522887338541,"score_gpt":0.2697477434201336,"score_spread":0.2632122205327951,"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."}}