{"id":"W2514147396","doi":"10.1109/icphm.2016.7542822","title":"Prognostics by interacting multiple model estimator","year":2016,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Prognostics; Estimator; Metric (unit); Probabilistic logic; Computer science; Statistical model; Component (thermodynamics); Reliability engineering; Engineering; Statistics; Data mining; Mathematics; Artificial intelligence","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":[0.002431577,0.001001929,0.00192487,0.001248133,0.0004287869,0.001108372,0.00138028,0.001140467,0.001379902],"category_scores_gemma":[0.007342722,0.0005384291,0.001324983,0.001082829,0.0005770298,0.001911125,0.001293122,0.002526764,0.0006250023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007084119,"about_ca_system_score_gemma":0.000963528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002839148,"about_ca_topic_score_gemma":0.001631149,"domain_scores_codex":[0.9988616,0.0004014156,0.00008235394,0.000243594,0.0003157741,0.0000952604],"domain_scores_gemma":[0.9977963,0.001319013,0.0002108474,0.000190596,0.0004297363,0.00005344659],"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":[0.0001562353,0.00007208242,0.00227931,0.0001737749,0.0001656198,0.0001384572,0.00008805978,0.8103225,0.002384021,0.02132254,0.002184177,0.1607133],"study_design_scores_gemma":[0.000006090907,0.00001940403,0.0001287734,0.000006128413,0.00001045763,0.00002385738,0.000003466198,0.9946018,0.0003546192,0.004488999,0.00034726,0.000009031177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002654502,0.0004071544,0.9960129,0.00008987213,0.00005123837,0.00001961976,0.00004632128,0.0003311344,0.0003872376],"genre_scores_gemma":[0.5630111,0.001786046,0.4294531,0.000364197,0.0003759111,0.0002662673,0.0007635258,0.0001482318,0.003831738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002839148,"threshold_uncertainty_score":0.01285952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007520006603114423,"score_gpt":0.2032553515196576,"score_spread":0.1957353449165432,"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."}}