{"id":"W7000690316","doi":"","title":"The Government of Canada supports Indigenous leadership in the Quebec green energy sector","year":2022,"lang":"en","type":"other","venue":"","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Indigenous; Renewable energy; Energy sector; Energy (signal processing); Sustainability","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":[0.002518223,0.0004127678,0.000335338,0.001234133,0.01535984,0.005359436,0.001765952,0.003649455,0.05463646],"category_scores_gemma":[0.005652571,0.0002511437,0.0004696491,0.001363682,0.002420179,0.00144463,0.003618899,0.003084318,0.002608699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07276905,"about_ca_system_score_gemma":0.3006591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948109,"about_ca_topic_score_gemma":0.9979924,"domain_scores_codex":[0.9970599,0.0002436992,0.00002762442,0.00007346208,0.0007477556,0.001847567],"domain_scores_gemma":[0.9891432,0.0009748043,0.0001774382,0.0001967033,0.004202128,0.005305665],"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":[0.0001130213,0.0002588021,0.01577954,0.0002713751,0.00003796228,0.0007564061,0.004672084,0.0009248875,0.0008569856,0.08174159,0.8017517,0.09283572],"study_design_scores_gemma":[0.00003711954,0.00003453033,0.0298652,0.0002923451,0.00002202808,0.00008145117,0.01371239,0.001006425,0.0005151237,0.003238301,0.9511481,0.000046912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06193211,0.004188101,0.0009075501,0.1616572,0.001733865,0.0003110862,0.002821045,0.0002830717,0.766166],"genre_scores_gemma":[0.2193464,0.002159451,0.001270157,0.0182089,0.0001858681,0.0001016233,0.0006789378,0.0001527245,0.7578959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07276905,"threshold_uncertainty_score":0.5279789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367803795093631,"score_gpt":0.2363937688249168,"score_spread":0.2127157308739805,"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."}}