{"id":"W6962600511","doi":"10.17608/k6.auckland.8207762","title":"Policy Briefing: Community Energy and Climate Change: Promising and Cautionary Tales in Canada","year":2019,"lang":"en","type":"other","venue":"University of Auckland Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Indigenous; Politics; Energy (signal processing); Climate change; Energy 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":[0.00610809,0.0006289273,0.001512858,0.007596787,0.01067052,0.01247269,0.004444966,0.003174348,0.06078365],"category_scores_gemma":[0.03354505,0.0006399406,0.001033525,0.02739306,0.002721552,0.00377015,0.003725716,0.003864997,0.00655987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09951268,"about_ca_system_score_gemma":0.3340906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971325,"about_ca_topic_score_gemma":0.9983119,"domain_scores_codex":[0.9921557,0.0007661269,0.0005128408,0.0005169934,0.004271746,0.001776602],"domain_scores_gemma":[0.9579909,0.009181331,0.001284623,0.002573101,0.02481266,0.004157409],"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":[0.00005614062,0.00001664975,0.003476038,0.0006032989,0.00002389836,0.00008107009,0.0008334848,0.0004467157,0.00005716312,0.009613843,0.9701036,0.01468819],"study_design_scores_gemma":[0.00002435308,0.000006218756,0.01077877,0.0006537241,0.00002545426,0.00001817897,0.001953186,0.0004677785,0.0001589358,0.001687753,0.984167,0.00005857078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0096119,0.007959268,0.001530568,0.1705559,0.004050066,0.0004929919,0.6515325,0.0009312193,0.1533356],"genre_scores_gemma":[0.1448343,0.02890821,0.01114739,0.04938996,0.001433407,0.001070457,0.2828543,0.002504865,0.4778571],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09951268,"threshold_uncertainty_score":0.7220184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411849514215298,"score_gpt":0.2121916165393621,"score_spread":0.1880731213972092,"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."}}