{"id":"W7000815972","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":"Indigenous Studies and Ecology","field":"Health Professions","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":[0.001521854,0.0009654058,0.0004732113,0.002006293,0.007915713,0.004020994,0.001906384,0.005207303,0.1201973],"category_scores_gemma":[0.00492837,0.0004666483,0.001092066,0.002074151,0.001453932,0.001409503,0.003893187,0.004509137,0.02077548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04783567,"about_ca_system_score_gemma":0.3005735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9815276,"about_ca_topic_score_gemma":0.991554,"domain_scores_codex":[0.9970399,0.0001225398,0.00005432641,0.00007906723,0.001167899,0.001536325],"domain_scores_gemma":[0.9889616,0.0003410554,0.0002234614,0.0001339893,0.005616614,0.004723381],"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":[0.0000437116,0.00008325826,0.001625266,0.0001546222,0.000008922291,0.0000679148,0.00012563,0.0001291868,0.0001313871,0.007344385,0.949357,0.04092869],"study_design_scores_gemma":[0.00002694716,0.00001923565,0.00669005,0.0002094022,0.00001016792,0.00003934123,0.0007535733,0.000210605,0.000152197,0.001148224,0.9907246,0.00001554717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007614963,0.005560602,0.001088966,0.1305035,0.008459616,0.0006772378,0.03018726,0.0008873363,0.8150205],"genre_scores_gemma":[0.01405845,0.00283593,0.001475915,0.01597625,0.000222959,0.0001987813,0.004048358,0.0001869486,0.9609964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1201973,"threshold_uncertainty_score":0.4020999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03439093312702538,"score_gpt":0.3204058418882621,"score_spread":0.2860149087612367,"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."}}