{"id":"W3202578034","doi":"10.18280/i2m.200404","title":"Machine Learning MOSA Monitoring System","year":2021,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lightning arrester; Surge arrester; Engineering; Voltage; Reliability engineering; Computer science; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000431732,0.0001412022,0.0001862263,0.00007088512,0.0002589388,0.0001292329,0.0001350546,0.00007743321,0.0004053341],"category_scores_gemma":[0.0001863055,0.0001350262,0.00005135617,0.0002945614,0.0000292513,0.0002486341,0.00005677936,0.0001608287,0.0003177698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674914,"about_ca_system_score_gemma":0.000092351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003216877,"about_ca_topic_score_gemma":0.000003170332,"domain_scores_codex":[0.9984547,0.0002722402,0.0003301729,0.0003237439,0.0003244457,0.0002947331],"domain_scores_gemma":[0.9993531,0.0001041404,0.0001449444,0.0001862838,0.0001282467,0.00008331938],"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":[0.00004479374,0.00004714149,0.07768122,0.00004366939,0.00002026753,0.00007719581,0.0004085978,0.002469824,0.9067951,0.003852902,0.00006868388,0.008490606],"study_design_scores_gemma":[0.001893525,0.000152798,0.03445377,0.00004942044,0.00005053958,0.00008819501,0.001580277,0.006905303,0.9476854,0.000591084,0.006120896,0.0004287594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857489,0.0004144904,0.004677908,0.0002772929,0.001123374,0.0001061474,0.00001214186,0.0004835167,0.007156214],"genre_scores_gemma":[0.9953032,0.00003704093,0.003780515,0.00009487542,0.0001669806,0.00002448253,0.00004510546,0.00001455811,0.0005333152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04322745,"threshold_uncertainty_score":0.5506209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420187325360357,"score_gpt":0.27278222191204,"score_spread":0.2485803486584364,"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."}}