{"id":"W3167076394","doi":"10.82308/39049","title":"Quantification of ancillary service provision by microgrid","year":2016,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Service (business); Business; Computer science; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005245208,0.0003482479,0.0003181025,0.0001879279,0.000181988,0.00002278557,0.0004843202,0.0001930492,0.000109627],"category_scores_gemma":[0.00008868984,0.0003002248,0.0001094819,0.0005288713,0.00004098726,0.0006576664,0.0001645072,0.0002004563,0.0003823484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003715712,"about_ca_system_score_gemma":0.000007603799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007775884,"about_ca_topic_score_gemma":0.00008336134,"domain_scores_codex":[0.9978799,0.00009338533,0.0005987717,0.0004975424,0.0004499051,0.0004804686],"domain_scores_gemma":[0.9985932,0.0001139556,0.0001409995,0.0007835765,0.0002010338,0.0001672711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002103935,0.00006645884,0.00008588599,0.0001704067,0.00007794949,0.000004219889,0.000001401027,0.001490435,0.831267,0.006733031,0.0002162336,0.1598659],"study_design_scores_gemma":[0.0005718086,0.00004707379,0.001021242,0.0001447532,0.00003580113,0.00000556978,0.0000117852,0.0004492761,0.6519831,0.0006200048,0.3447099,0.0003996808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870887,0.0004263233,0.00006511714,0.000112987,0.0007544656,0.0003800823,0.0004958563,0.0006783527,0.009998134],"genre_scores_gemma":[0.9976416,0.0004458279,0.001119363,0.0001586811,0.00003511678,0.00006005721,0.00005506013,0.0001205332,0.0003637759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3444937,"threshold_uncertainty_score":0.999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166786484843045,"score_gpt":0.1943099452895219,"score_spread":0.1826420804410915,"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."}}