{"id":"W7049020461","doi":"","title":"Minister Vandal announces investments in clean energy projects to help reduce diesel use in Nunavut","year":2024,"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":"Ultra-low-sulfur diesel; Diesel fuel; Clean energy; Clean technology; Government (linguistics); Energy (signal processing); Energy policy; Energy source","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":[0.000889871,0.0005174651,0.0002793734,0.0005286305,0.003852592,0.002569468,0.001418007,0.005050374,0.06926394],"category_scores_gemma":[0.001527977,0.0005091357,0.0005587864,0.0003491088,0.0006614163,0.0005764065,0.001820303,0.003697761,0.008553363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008859615,"about_ca_system_score_gemma":0.02434935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7869773,"about_ca_topic_score_gemma":0.9130496,"domain_scores_codex":[0.9991559,0.00004065947,0.000009530587,0.00005989365,0.0002828513,0.0004511661],"domain_scores_gemma":[0.9991568,0.00009685026,0.00001972325,0.00003089713,0.0003595203,0.0003362405],"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":[0.0001864677,0.0001335964,0.005203991,0.0001001541,0.00001542764,0.0005184239,0.000260611,0.0004768117,0.001349843,0.01429087,0.9614393,0.01602454],"study_design_scores_gemma":[0.00003304528,0.00003207566,0.008458801,0.00003475012,0.000006390846,0.00004103091,0.0006268605,0.000415288,0.0005761391,0.0005622106,0.9891955,0.00001795161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03114081,0.001722202,0.0009685411,0.07142724,0.007976189,0.0004759124,0.01575413,0.0009667997,0.8695682],"genre_scores_gemma":[0.01359136,0.0001767718,0.0002638183,0.006838696,0.00007687089,0.0000371617,0.0008702572,0.00009843796,0.9780466],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2130227,"threshold_uncertainty_score":0.4285545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412778520801953,"score_gpt":0.2982754671098177,"score_spread":0.2641476819017982,"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."}}