{"id":"W4403863517","doi":"10.1109/access.2024.3487916","title":"Physics-Based Reliability Modeling for Control Applications: Adaptative Control Allocation","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; MultiCare Institute for Research and Innovation","keywords":"Reliability (semiconductor); Control (management); Computer science; Physics; Reliability engineering; Engineering; Artificial intelligence","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":[0.0002882376,0.0001394224,0.000208887,0.00004056956,0.00005881368,0.0001369106,0.0002019566,0.00006716565,0.000007650559],"category_scores_gemma":[0.00002435065,0.0001298496,0.00008733169,0.0001630395,0.00001760607,0.0002801744,0.00000282964,0.00008789416,0.00003959745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009694455,"about_ca_system_score_gemma":0.00005103051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004761521,"about_ca_topic_score_gemma":0.00000682725,"domain_scores_codex":[0.9991494,0.00002972684,0.0002998313,0.0002177354,0.0001279291,0.0001753149],"domain_scores_gemma":[0.99912,0.0004433441,0.00002656344,0.0002475408,0.0001124921,0.00005005082],"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":[0.00001057539,0.00001270426,0.00001722771,0.0004758906,0.00005480336,2.102399e-7,0.0001430371,0.9894046,0.0006343887,0.0005334591,0.0003307366,0.008382434],"study_design_scores_gemma":[0.0005681439,0.0000122464,0.000009284078,0.00008697778,0.00004996565,3.407896e-7,0.00002501707,0.9934129,0.0006008028,0.003242309,0.001848754,0.0001432993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00280573,0.0005064965,0.9934025,0.0001707766,0.0004902951,0.001525961,0.00008738438,0.0005007351,0.0005101276],"genre_scores_gemma":[0.9960355,0.000007443467,0.0005103643,0.0001138001,0.000426576,0.002825729,0.00002302344,0.0000388244,0.00001872708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9932298,"threshold_uncertainty_score":0.5295113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076627195002068,"score_gpt":0.2972949309879563,"score_spread":0.2665286590379356,"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."}}