{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004270086,0.0006055751,0.0002623051,0.0004296092,0.002288785,0.002093891,0.0009553613,0.0005888388,0.008268215],"category_scores_gemma":[0.0009892875,0.0001297007,0.0003373752,0.0007117168,0.0007174665,0.0008299003,0.001676743,0.001160965,0.0005545317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01311757,"about_ca_system_score_gemma":0.0259826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9090641,"about_ca_topic_score_gemma":0.9564187,"domain_scores_codex":[0.9994961,0.00003250792,0.000007427704,0.00005949464,0.0002030083,0.0002014994],"domain_scores_gemma":[0.9994691,0.00003179965,0.00002065745,0.00004507744,0.0003359502,0.00009748015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006745394,0.0003814129,0.02358001,0.0005220015,0.0001992088,0.001914085,0.001488414,0.3144533,0.02309771,0.09965067,0.1423524,0.3916862],"study_design_scores_gemma":[0.0002820798,0.0004270731,0.07196402,0.0003731829,0.0001548829,0.0005233512,0.007938368,0.1464702,0.01878778,0.02568433,0.7272319,0.0001628201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5770248,0.002864953,0.02942925,0.01420381,0.0009499145,0.0003770035,0.002802113,0.002064905,0.3702833],"genre_scores_gemma":[0.9515375,0.0007153429,0.005073874,0.0007297509,0.00004283498,0.00002056808,0.0006910741,0.0001040201,0.04108501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09093589,"threshold_uncertainty_score":0.1829428,"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."}}