{"id":"W4404668866","doi":"10.1049/pbpo248e_ch11","title":"Condition monitoring and health prognosis applications in smart grids","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Computer science; Medicine; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000262982,0.0008145405,0.0004135668,0.0009082646,0.0004582234,0.001893401,0.0006776704,0.001055346,0.02735796],"category_scores_gemma":[0.0007046644,0.0003206123,0.000405936,0.001088577,0.0005698653,0.002492335,0.001007974,0.001304887,0.01366236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005803013,"about_ca_system_score_gemma":0.0004289125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117342,"about_ca_topic_score_gemma":0.001590114,"domain_scores_codex":[0.9998055,0.00002669797,0.00001028504,0.00003731292,0.0001066433,0.00001356749],"domain_scores_gemma":[0.9997465,0.0001183975,0.00001348548,0.00002626156,0.00007830652,0.00001707449],"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":[0.00007124675,0.00005606693,0.0003231877,0.0007111251,0.00001627845,0.0003211474,0.0006821692,0.006529405,0.006933343,0.1446947,0.2308247,0.6088366],"study_design_scores_gemma":[0.000007452747,0.00003139586,0.0003929262,0.000381322,0.00001096741,0.0006829031,0.0001229916,0.009470192,0.00170516,0.0438141,0.9433533,0.00002719278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00420254,0.0636827,0.3252259,0.005623684,0.005907137,0.0002856193,0.0008269501,0.006112388,0.5881331],"genre_scores_gemma":[0.05830043,0.07794263,0.165244,0.003874197,0.002953743,0.0002582849,0.001360915,0.001144977,0.6889209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02735796,"threshold_uncertainty_score":0.0915215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323191248146881,"score_gpt":0.2561122469027426,"score_spread":0.2328803344212738,"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."}}