{"id":"W2561996201","doi":"","title":"A probabilistic multivariate method for fault diagnosis of industrial processes","year":2015,"lang":"en","type":"article","venue":"Figshare","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Copula (linguistics); Probability density function; Probabilistic logic; Multivariate normal distribution; Nonlinear system; Gaussian process; Multivariate statistics; Joint probability distribution; Fault detection and isolation; Control limits; Gaussian; Computer science; Mathematics; Algorithm; Statistics; Data mining; Process (computing); Artificial intelligence; Econometrics","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":[0.001095698,0.0008988831,0.001137592,0.002033117,0.0005135745,0.0007106169,0.001034351,0.0007384419,0.002652706],"category_scores_gemma":[0.003382948,0.0004230374,0.001056616,0.001976859,0.0006268641,0.001143166,0.0009863126,0.001489615,0.0006808473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006284563,"about_ca_system_score_gemma":0.0009525443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513163,"about_ca_topic_score_gemma":0.002125779,"domain_scores_codex":[0.99893,0.000262542,0.00004673601,0.0002086214,0.0004922554,0.00005983787],"domain_scores_gemma":[0.9990243,0.000442298,0.0001339445,0.0001351174,0.0002359753,0.00002835204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001128214,0.00006951817,0.001349103,0.000231651,0.0001243233,0.0001217913,0.0000865909,0.3368965,0.01331685,0.03734375,0.002568729,0.6077784],"study_design_scores_gemma":[0.000007050046,0.00003085033,0.0006856323,0.000009545846,0.00001360153,0.0001371358,0.000007904673,0.9852648,0.002050352,0.008605515,0.003162078,0.00002543232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008092285,0.0001244802,0.9984661,0.00003223802,0.00001345191,0.00001298534,0.00002434428,0.0002767147,0.0002403281],"genre_scores_gemma":[0.2252767,0.0006843998,0.7710109,0.0001144682,0.0001107806,0.0001567666,0.0002538534,0.0001370234,0.002255041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002652706,"threshold_uncertainty_score":0.008874178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09891294645939824,"score_gpt":0.3046504870543914,"score_spread":0.2057375405949932,"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."}}