{"id":"W7017530379","doi":"","title":"Canada and Manitoba accelerate the move to renewable energy through $38.2 million investment","year":2023,"lang":"en","type":"other","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Renewable energy; Energy (signal processing); Government (linguistics); Feed-in tariff; Boom","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":[],"consensus_categories":[],"category_scores_codex":[0.00004231843,0.0002955069,0.0002228342,0.00009445316,0.00004455776,0.00006145368,0.0001600819,0.0001939139,0.0002528097],"category_scores_gemma":[0.000008142537,0.0002099013,0.00002145461,0.0002952824,0.00001125592,0.00004090018,0.00003996533,0.00009077316,0.00002392291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903727,"about_ca_system_score_gemma":0.00009888172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940583,"about_ca_topic_score_gemma":0.9988564,"domain_scores_codex":[0.9990922,0.00002616164,0.0001966401,0.000233915,0.0001906586,0.000260413],"domain_scores_gemma":[0.9995189,0.00002182314,0.00003817061,0.0003253607,0.00002828229,0.00006750326],"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":[5.839673e-7,9.078196e-7,0.000001224913,0.00001983574,0.00006836894,0.000004985278,0.00002568895,0.3018371,0.0000184797,0.000895989,0.6970381,0.00008869282],"study_design_scores_gemma":[0.00006889556,0.000007524965,0.000004262852,0.0001469171,0.00001249475,0.000002811551,0.0001452624,0.01497173,0.00123072,0.00004984573,0.98309,0.0002695066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001541057,0.0006939752,0.007559858,0.0001387811,0.001642763,0.0002229988,0.00004935085,0.0009902338,0.9886866],"genre_scores_gemma":[0.0008265551,0.001226633,0.0009632653,0.001627314,0.000380436,0.0001612342,0.00006980917,0.001234555,0.9935102],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2868654,"threshold_uncertainty_score":0.8559527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009318044816205242,"score_gpt":0.179216958319608,"score_spread":0.1698989135034027,"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."}}