{"id":"W7071058515","doi":"","title":"RES and Cowessess First Nation to Accelerate Renewable Energy Goals in Saskatchewan","year":2021,"lang":"en","type":"other","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; First nation; Energy (signal processing); Feed-in tariff; Sustainability; Energy consumption","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001065948,0.0001968993,0.0002071758,0.0001293723,0.00002799143,0.00005937462,0.0001450419,0.0003514525,0.0006832946],"category_scores_gemma":[0.00008115781,0.000190244,0.00002771996,0.0001209694,0.00002233791,0.000001550263,0.0002031752,0.00007951802,0.000004313002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366968,"about_ca_system_score_gemma":0.00009219539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008808222,"about_ca_topic_score_gemma":0.2363674,"domain_scores_codex":[0.9991754,0.00003930161,0.0002048077,0.0002938177,0.0001058141,0.0001809076],"domain_scores_gemma":[0.9994762,0.0000105901,0.0001041453,0.0003062926,0.00003600894,0.00006673931],"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":[0.00002322261,0.00003884373,0.002441617,0.0002988655,0.00006537115,0.000006810893,0.0001466008,0.0009183462,0.008026298,0.00006181653,0.9864005,0.001571703],"study_design_scores_gemma":[0.0002354731,0.00005988534,0.0001530721,0.0001509065,0.000005591717,0.000005142509,0.0001790418,0.0001471462,0.009419191,0.00001228726,0.9893627,0.0002695236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002291476,0.001771834,0.004985707,0.0004819511,0.0002398919,0.0002323495,0.00002807126,0.00004541306,0.9899233],"genre_scores_gemma":[0.01093382,0.0007643761,0.006500984,0.001069455,0.0002568916,0.00003399945,0.0007945053,0.0001636539,0.9794823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2275592,"threshold_uncertainty_score":0.9977922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276258716735632,"score_gpt":0.2512869767297847,"score_spread":0.2385243895624284,"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."}}