{"id":"W2125378074","doi":"10.1088/1742-6596/364/1/012076","title":"Crack Level Estimation Approach for Planetary Gear Sets Based on Simulation Signal and GRA","year":2012,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"SIGNAL (programming language); Fault (geology); Transmission (telecommunications); Computer science; Estimation; Test data; Engineering; Data mining; Reliability engineering; Real-time computing; Algorithm; Telecommunications; Geology","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":[0.0001303702,0.00008978145,0.0001545657,0.00005255221,0.0000442056,0.00004852455,0.00004647096,0.00003682308,0.000008255824],"category_scores_gemma":[0.00001143682,0.00007920481,0.00005184647,0.00005156813,0.00001883256,0.0003512193,0.000004931467,0.0001029201,0.00000114067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001582664,"about_ca_system_score_gemma":0.00001634675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002564316,"about_ca_topic_score_gemma":7.150664e-7,"domain_scores_codex":[0.9995414,0.0000115114,0.0001555881,0.0000464871,0.0001322262,0.0001127593],"domain_scores_gemma":[0.9996623,0.00005911944,0.00007865906,0.00005592609,0.0000919002,0.00005212215],"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":[0.00002936978,0.00002866676,0.0006876523,0.00006612754,0.00004103092,2.084872e-7,0.0001743655,0.9727886,0.0006133164,0.0006652222,0.00002107068,0.02488439],"study_design_scores_gemma":[0.0001805826,0.00008359086,0.00753353,0.0000210606,0.00006114711,0.000002030404,0.00004655575,0.9888561,0.001883458,0.001218356,0.00002536487,0.00008822492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1021797,0.0000251081,0.8974739,0.00002082491,0.00005904043,0.00005231074,0.00001983067,0.00001222509,0.0001570527],"genre_scores_gemma":[0.9753391,0.000006365746,0.02447348,0.00001061014,0.0001054122,0.000001279119,0.00004266652,0.00001025951,0.0000108418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8731594,"threshold_uncertainty_score":0.3229878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04164211781488904,"score_gpt":0.2456647437650826,"score_spread":0.2040226259501935,"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."}}