{"id":"W7099962808","doi":"","title":"COMPREHENSIVE STATCOM CONTROL FOR DISTRIBUTION AND","year":2014,"lang":"en","type":"article","venue":"","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control (management); Power (physics); Control theory (sociology); Distribution (mathematics); Energy (signal processing); Inclusion (mineral); Power sharing","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":[0.0009649231,0.000998061,0.0009566734,0.0006066383,0.0009128203,0.002519168,0.000921262,0.0008012376,0.0182378],"category_scores_gemma":[0.001693639,0.0003177462,0.000489711,0.0008079743,0.0008912281,0.001991605,0.001137784,0.001434337,0.002946639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442096,"about_ca_system_score_gemma":0.001986647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004921527,"about_ca_topic_score_gemma":0.009314826,"domain_scores_codex":[0.9993623,0.00009814983,0.00003293774,0.0001570539,0.0002558184,0.00009391022],"domain_scores_gemma":[0.9993278,0.0001395305,0.00005994705,0.0001182193,0.0003200496,0.00003446467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004195779,0.0001721824,0.000625499,0.0004129118,0.0001128419,0.0001557641,0.0001858355,0.5112052,0.00968161,0.1708294,0.03003488,0.2761644],"study_design_scores_gemma":[0.00004012101,0.0001363423,0.0005538856,0.0000676686,0.0000492362,0.00007429412,0.00004474584,0.9287706,0.003257497,0.04510527,0.02187592,0.00002433518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00778565,0.0007995885,0.9445426,0.0006158234,0.0003342548,0.00009182257,0.0003023966,0.001791846,0.04373586],"genre_scores_gemma":[0.9107503,0.0008892866,0.03362032,0.0003531761,0.0003104992,0.0001454459,0.0005336073,0.0003021609,0.05309512],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0182378,"threshold_uncertainty_score":0.06101149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768625630422627,"score_gpt":0.2235638051905462,"score_spread":0.20587754888632,"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."}}