{"id":"W7017770027","doi":"","title":"Canada Invests in Clean Energy for Indigenous Communities in the North","year":2019,"lang":"en","type":"other","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Indigenous; Energy (signal processing); Clean energy; Renewable energy; Government (linguistics); 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":[0.001096003,0.0004542131,0.0004082433,0.001963582,0.01337718,0.00518089,0.001395293,0.002724104,0.07464071],"category_scores_gemma":[0.003454298,0.0003110259,0.0005921397,0.002774745,0.0016631,0.001224914,0.003660966,0.002729339,0.00574856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07146453,"about_ca_system_score_gemma":0.3405553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945632,"about_ca_topic_score_gemma":0.9984084,"domain_scores_codex":[0.9976397,0.00009818035,0.00003051817,0.00008947022,0.0007791398,0.001363075],"domain_scores_gemma":[0.9919971,0.0003088755,0.000154552,0.00010953,0.002539008,0.004890891],"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":[0.00005974829,0.0001083057,0.01043591,0.0003320041,0.00001958775,0.0002297754,0.001078492,0.0002110356,0.0002549334,0.02668839,0.8649035,0.09567834],"study_design_scores_gemma":[0.00002020479,0.00002327994,0.02351827,0.0004214504,0.00002067822,0.00009076177,0.004640539,0.0001864282,0.0002180942,0.001771326,0.9690638,0.00002516374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03713703,0.01202275,0.0004830323,0.1414685,0.003479686,0.0002215563,0.01159071,0.0004443563,0.7931524],"genre_scores_gemma":[0.08772249,0.007873863,0.001034793,0.01814812,0.0003135664,0.00006327424,0.001779883,0.0001736884,0.8828903],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07464071,"threshold_uncertainty_score":0.5185139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112299276032926,"score_gpt":0.3226024970308885,"score_spread":0.2814795042705592,"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."}}