{"id":"W7029362041","doi":"","title":"I Squared Capital to Sell Cube Hydro to Ontario Power Generation - news","year":2019,"lang":"en","type":"other","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Production (economics); Power (physics); Electricity generation; Cube (algebra); Hydro power","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":[0.0004672178,0.0005845682,0.0002653621,0.000804681,0.003055031,0.004259567,0.0005533411,0.00206455,0.2875903],"category_scores_gemma":[0.002190646,0.0003053047,0.0004386201,0.00098548,0.0007562011,0.001408656,0.0008324331,0.002439328,0.0667851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01122436,"about_ca_system_score_gemma":0.01265676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6188819,"about_ca_topic_score_gemma":0.8729419,"domain_scores_codex":[0.9994059,0.00002084255,0.000008147453,0.00003232047,0.0004154546,0.0001174418],"domain_scores_gemma":[0.998818,0.00007384505,0.00003027533,0.00005457876,0.0007596732,0.0002636923],"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":[0.00001493323,0.000005371567,0.0001388136,0.00001127102,0.00000134473,0.00002319671,0.0000164537,0.00005441817,0.00006290936,0.002767646,0.9889202,0.00798343],"study_design_scores_gemma":[0.000006312224,0.000004697589,0.0006980728,0.00002015432,0.000001373079,0.000009296304,0.00006006752,0.0001251808,0.00008667063,0.0007986385,0.998184,0.00000544182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001477538,0.001018925,0.0005703037,0.02920743,0.005201904,0.0000596492,0.005644295,0.0005217738,0.9562982],"genre_scores_gemma":[0.003814233,0.0003818455,0.0001673816,0.001739455,0.0003253258,0.000007654112,0.0008273572,0.0001360322,0.9926006],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3811181,"threshold_uncertainty_score":0.9620855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006132109411445734,"score_gpt":0.1837653692014146,"score_spread":0.1776332597899689,"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."}}