{"id":"W4248463193","doi":"10.21203/rs.3.rs-747751/v1","title":"Fuzzy Fault Tree Reliability Analysis Based on Improved T–S Model with Application to NC Turret","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Science and Technology Major Project; China Scholarship Council","keywords":"Fault tree analysis; Fuzzy logic; Reliability (semiconductor); Fault (geology); Turret; Reliability engineering; Computer science; Monte Carlo method; Tree (set theory); Data mining; Algorithm; Mathematics; Engineering; Artificial intelligence; Statistics","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":[0.0006520878,0.0004770183,0.000611153,0.001014468,0.0003442678,0.0005400193,0.0006480051,0.0006238671,0.0008811451],"category_scores_gemma":[0.001440818,0.0002035634,0.0007744145,0.0006942466,0.0004093639,0.0006445337,0.0002949934,0.0005141866,0.00008565951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007991822,"about_ca_system_score_gemma":0.0005465914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250943,"about_ca_topic_score_gemma":0.006126889,"domain_scores_codex":[0.9997268,0.000100136,0.00001335217,0.00004750089,0.00008409844,0.00002797114],"domain_scores_gemma":[0.9994482,0.0002583929,0.00006749247,0.00002832909,0.0001750675,0.00002257597],"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":[0.00002258618,0.00001092383,0.0005423374,0.00001994126,0.00001187773,0.00006334589,0.00003416593,0.9882594,0.001598452,0.003684569,0.0001035229,0.00564884],"study_design_scores_gemma":[3.644995e-7,0.000003297917,0.00006309289,5.725583e-7,0.000001285142,0.00000284266,0.000001990556,0.9994439,0.00008340684,0.0003756772,0.00002241057,0.000001062849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1038886,0.0001439168,0.8936576,0.00008705723,0.00001965859,0.00002747134,0.00003478218,0.0001566839,0.001984119],"genre_scores_gemma":[0.9767407,0.0000807088,0.0223191,0.000009583378,0.000009061582,0.00002248824,0.00002328891,0.0000125498,0.0007825527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01250943,"threshold_uncertainty_score":0.02487326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09806140300740393,"score_gpt":0.4542559512088727,"score_spread":0.3561945482014688,"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."}}