{"id":"W7047261855","doi":"","title":"Government of Canada partners with Northern BC and Yukon First Nations to reduce reliance on diesel and fight climate change","year":2020,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Climate change; Diesel fuel; Public 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":[0.001041107,0.001000072,0.0004188548,0.001553658,0.00603295,0.003674293,0.001252526,0.003516921,0.1176178],"category_scores_gemma":[0.002984472,0.0004195037,0.0008146577,0.001534033,0.0009863338,0.001126229,0.00236142,0.002901301,0.02710305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04122305,"about_ca_system_score_gemma":0.1997278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9734372,"about_ca_topic_score_gemma":0.9862273,"domain_scores_codex":[0.9978296,0.0000589425,0.00002681059,0.00007659515,0.001050342,0.0009577079],"domain_scores_gemma":[0.9938715,0.0001283883,0.00009755445,0.0001106491,0.004168896,0.00162313],"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":[0.00005706456,0.0000527638,0.001054679,0.00007273431,0.000009254663,0.00005640269,0.00004341826,0.0002007933,0.0002459955,0.009332543,0.9687367,0.02013763],"study_design_scores_gemma":[0.00002044543,0.00001300951,0.003426656,0.00006200758,0.000007445065,0.00002459363,0.0002339211,0.0002614411,0.0002792624,0.0008247918,0.9948345,0.00001192351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005221642,0.001872499,0.001136869,0.0346975,0.00443456,0.0004348548,0.03429736,0.0009352992,0.9169694],"genre_scores_gemma":[0.0125334,0.001109716,0.001245469,0.005637224,0.00008655753,0.00009186284,0.006100596,0.0002242555,0.9729709],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1176178,"threshold_uncertainty_score":0.3934708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363056532487862,"score_gpt":0.2417145675461649,"score_spread":0.2280840022212862,"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."}}