{"id":"W2888689340","doi":"10.1088/1757-899x/398/1/012032","title":"A Fuzzy Satisfactory Optimization Method Based on Stress Analysis for a Hybrid Composite Flywheel","year":2018,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Flywheel; Design for manufacturability; Fuzzy logic; Stress (linguistics); Mathematical optimization; Structural engineering; Computer science; Mathematics; Engineering; Automotive engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005877453,0.0002034866,0.0002860885,0.0005029152,0.0002014997,0.0004059807,0.0002366815,0.00005368387,0.00008557508],"category_scores_gemma":[0.0001764536,0.0001963289,0.00003589705,0.0007497412,0.0001230957,0.000401028,0.00004187909,0.00007450361,0.000004238238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006185249,"about_ca_system_score_gemma":0.00006488385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001400317,"about_ca_topic_score_gemma":0.000004231817,"domain_scores_codex":[0.9986856,0.00001667162,0.0002429735,0.0003227436,0.0003189941,0.000413037],"domain_scores_gemma":[0.9991881,0.00008529605,0.00002491811,0.0002720765,0.0002639603,0.0001656475],"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":[0.00001739667,0.000005198272,0.000004311101,0.00008251967,0.00002530502,6.085577e-7,0.00004647317,0.6848993,0.3125277,0.001818242,0.000007081851,0.0005658888],"study_design_scores_gemma":[0.0001067372,0.0000884457,0.0002725331,0.0000357731,0.00002388752,0.000001282673,0.00001185026,0.6618447,0.3373684,0.00002366403,0.00006634621,0.0001564508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1324378,0.00001025373,0.866295,0.00005971919,0.0003367917,0.0002113142,0.0001202759,0.0002776244,0.0002511881],"genre_scores_gemma":[0.9077589,0.00001862759,0.09196665,0.00001922127,0.00009374065,0.00007648345,0.00002915154,0.00002301388,0.0000142305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7753211,"threshold_uncertainty_score":0.8006061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254057960678238,"score_gpt":0.2689764369115691,"score_spread":0.2464358573047868,"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."}}