{"id":"W4285294819","doi":"10.2139/ssrn.4156201","title":"Decarbonizing Canada's Remote Microgrids","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004759288,0.0001133557,0.000114756,0.0000696863,0.0003102983,0.00003250751,0.0002148981,0.00002045644,0.00008638186],"category_scores_gemma":[0.000007263131,0.0001236047,0.00005449782,0.0001798876,0.00000602301,0.00005381326,0.00003330662,0.001484306,0.000001982887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002657085,"about_ca_system_score_gemma":0.001873572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02597436,"about_ca_topic_score_gemma":0.2559407,"domain_scores_codex":[0.9980398,0.00003798651,0.0001899848,0.00009579144,0.0002121242,0.001424313],"domain_scores_gemma":[0.9997616,0.0000129324,0.00003964785,0.0001012211,0.00002518069,0.00005936938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003388731,0.00001678873,0.0002561505,0.000008666089,0.0003131366,0.0000384003,0.0001108838,0.5987834,0.006179012,0.003110916,0.002259405,0.3888894],"study_design_scores_gemma":[0.003228069,0.0003684795,0.0004552803,0.00002148665,0.0001591917,0.006268938,0.003099699,0.5898713,0.001314948,0.0270688,0.3668222,0.001321584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6491467,0.2107119,0.1211762,0.003151504,0.005870556,0.0005887533,0.00004243761,0.0007829868,0.008529074],"genre_scores_gemma":[0.9953608,0.003656754,0.0002589769,0.0001336448,0.0002483769,0.000002891901,0.000008169696,0.00003866889,0.0002917161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3875678,"threshold_uncertainty_score":0.9805118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002002561218501853,"score_gpt":0.1503717621986123,"score_spread":0.1483692009801104,"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."}}