{"id":"W7064733637","doi":"","title":"Data anomaly analysis using nonparametric statistical model for fault detection and lifing","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Fault detection and isolation; Statistical model; Scale (ratio); Anomaly detection; Statistical analysis; Regression analysis; Nonparametric regression","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":[0.00008088157,0.00008650968,0.000145299,0.0001524991,0.000141907,0.00009848707,0.00008597031,0.00002568906,0.0001460881],"category_scores_gemma":[0.00005996565,0.0000836508,0.00004069411,0.0003215134,0.00001522529,0.0001903654,0.00003290235,0.00007382133,0.000005661185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001614572,"about_ca_system_score_gemma":0.00002300938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008838647,"about_ca_topic_score_gemma":0.00002511781,"domain_scores_codex":[0.9993629,0.00001090957,0.0001567437,0.000242332,0.00007436338,0.000152713],"domain_scores_gemma":[0.9993223,0.0002533869,0.00005873668,0.0002432274,0.00005671434,0.00006566555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002085222,0.001114623,0.01959276,0.00004289692,0.001339856,0.000005514117,0.0002616343,0.4935877,0.02993307,0.03978285,0.002805478,0.4113251],"study_design_scores_gemma":[0.0002026374,0.00003672748,0.001097944,0.000003881335,0.0004585876,5.837151e-7,0.00003519684,0.9891987,0.0006479691,0.007954421,0.000263689,0.00009962579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2661924,0.000001575552,0.731959,0.0000251916,0.00003088121,0.00007646206,0.0006210732,0.000009515258,0.00108387],"genre_scores_gemma":[0.9076706,0.000001167533,0.09196047,0.00002519715,0.00007970054,0.000004553172,0.000171726,0.000005737805,0.00008083719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6414782,"threshold_uncertainty_score":0.3411181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04054941935435398,"score_gpt":0.319023801560507,"score_spread":0.2784743822061531,"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."}}