{"id":"W6998398063","doi":"","title":"Alberta NDP Urges Government to Utilize $282 Million Renewable Energy Windfall for Consumer Relief and Industry Growth","year":2023,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Government (linguistics); Windfall gain; Production (economics); Energy (signal processing); Energy policy","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":[0.001320444,0.0008263364,0.0004871513,0.001867852,0.009330045,0.006028377,0.001643502,0.009526323,0.139862],"category_scores_gemma":[0.003232137,0.0006676799,0.001026072,0.001520995,0.001295651,0.0007306019,0.002176651,0.004818138,0.02060761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04249446,"about_ca_system_score_gemma":0.1756589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764263,"about_ca_topic_score_gemma":0.9921216,"domain_scores_codex":[0.9975675,0.00006355641,0.00002702093,0.00008295226,0.001401969,0.0008570115],"domain_scores_gemma":[0.9959022,0.0002345546,0.0000441011,0.00009824537,0.002584763,0.001136148],"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":[0.00002611025,0.00003863101,0.0007152603,0.00003506389,0.000005038527,0.00009263335,0.00004687022,0.0001434096,0.0002023389,0.009720339,0.9771016,0.01187269],"study_design_scores_gemma":[0.00003156686,0.00001197045,0.003683621,0.00004616732,0.000007628349,0.0000266335,0.0003411527,0.0004223656,0.0002319691,0.001427489,0.993751,0.00001840973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004489376,0.001034752,0.0004658124,0.06599123,0.003866983,0.0002527398,0.008997058,0.0007419777,0.9141601],"genre_scores_gemma":[0.006013684,0.0003048674,0.0003901217,0.009649397,0.0001091919,0.00003744545,0.0009825878,0.00008164452,0.982431],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.139862,"threshold_uncertainty_score":0.4678851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803947186302794,"score_gpt":0.2674241233139878,"score_spread":0.2493846514509599,"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."}}