{"id":"W7027127275","doi":"","title":"Canadian Government announces $125m funding for EverWind Fuels' green energy hub","year":2023,"lang":"en","type":"other","venue":"","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Green paper; Energy (signal processing); Renewable energy; 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":[0.001838514,0.0009210777,0.0005967049,0.002124704,0.007777293,0.005497606,0.001540145,0.007849343,0.210566],"category_scores_gemma":[0.00484421,0.0006258413,0.001275555,0.001370357,0.001518726,0.001017042,0.002025959,0.005056193,0.0454384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02480183,"about_ca_system_score_gemma":0.1132095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9496129,"about_ca_topic_score_gemma":0.9810472,"domain_scores_codex":[0.9965492,0.00006379142,0.00002634193,0.00009322564,0.002454355,0.000813001],"domain_scores_gemma":[0.9945417,0.0002824503,0.000048736,0.0001355748,0.003092571,0.001898907],"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":[0.00001592592,0.00001732864,0.0001523752,0.00001481674,0.000002189059,0.00002113355,0.00001789491,0.00003302489,0.00008162118,0.003718355,0.9894229,0.006502322],"study_design_scores_gemma":[0.00002311825,0.000008767138,0.001954789,0.00002513331,0.000003993305,0.00001031731,0.0001169557,0.0001546475,0.0001116729,0.0005571696,0.997021,0.00001236508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00308912,0.001101169,0.0006334807,0.06477632,0.01058661,0.0003058143,0.01269954,0.001129413,0.9056785],"genre_scores_gemma":[0.004912439,0.000367101,0.0003300721,0.006360889,0.0003061787,0.00004450901,0.001715512,0.0001426555,0.9858208],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.210566,"threshold_uncertainty_score":0.7044134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523591448834595,"score_gpt":0.2831389814151418,"score_spread":0.2579030669267959,"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."}}