{"id":"W2901974794","doi":"10.25071/10315/35395","title":"On-Line Determination Of A Go-Nogo State Using A Continous Estimation Of The System Response","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Line (geometry); Estimation; State (computer science); Computer science; Control theory (sociology); Engineering; Mathematics; Artificial intelligence; Algorithm; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004797505,0.0001170541,0.0002074552,0.0002484303,0.00002909217,0.00001332692,0.0001406843,0.00008413293,0.000002856898],"category_scores_gemma":[0.0001788064,0.0001063255,0.00004816115,0.0003481352,0.00002536797,0.00004838016,0.00001112034,0.000122435,0.000001929257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287258,"about_ca_system_score_gemma":0.00007470344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00225824,"about_ca_topic_score_gemma":0.008457997,"domain_scores_codex":[0.999034,0.00005219011,0.0003786774,0.0001117468,0.000164213,0.0002591666],"domain_scores_gemma":[0.9994827,0.00008287975,0.00006361743,0.0002018742,0.00005795066,0.0001109682],"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":[0.0002122563,0.00002479945,0.0001715082,0.0008328963,0.00005006676,0.00002390666,0.0006075719,0.9215867,0.02454396,0.004242626,0.000004187525,0.04769954],"study_design_scores_gemma":[0.0003235485,0.00008334277,0.0002396888,0.0004913898,0.000007537951,0.00001430678,0.00001786568,0.9767649,0.02188982,0.00001994918,0.0000535888,0.00009411848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945536,0.0001067677,0.05302255,0.00002550619,0.0007570309,0.0003993372,0.00001882934,0.00009505341,0.00003890727],"genre_scores_gemma":[0.9985855,5.252564e-7,0.001318642,0.000005739024,0.0000279839,0.0000294592,5.214246e-7,0.00002677216,0.000004890222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05517816,"threshold_uncertainty_score":0.4719761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009718029041589426,"score_gpt":0.2392871990869441,"score_spread":0.2295691700453547,"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."}}