{"id":"W4409787578","doi":"10.61091/jcmcc127a-408","title":"A Fault Diagnosis Method for Wind Turbine Gearbox under High Noise Based on Adaptive Probability Random Forest","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hunan University; National Natural Science Foundation of China","keywords":"Turbine; Random forest; Noise (video); Fault (geology); Environmental science; Random noise; Wind power; Computer science; Engineering; Artificial intelligence; Algorithm; Geology; Seismology; Aerospace engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002352505,0.0004727411,0.001212262,0.0003835417,0.0002180036,0.0001844923,0.0004505354,0.0002840595,0.000005079707],"category_scores_gemma":[0.001276482,0.0003825601,0.0003463305,0.0004217389,0.00006702794,0.0001219188,0.0001123005,0.0006488406,5.477602e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729881,"about_ca_system_score_gemma":0.0001358099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002622038,"about_ca_topic_score_gemma":0.000002554354,"domain_scores_codex":[0.9972705,0.0001707081,0.001303443,0.0003008534,0.0005397545,0.0004147858],"domain_scores_gemma":[0.9934303,0.004882352,0.000531072,0.000364389,0.0006213614,0.0001705919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001112756,0.002131453,0.0007424698,0.001463263,0.0005384465,0.00001351615,0.0003594958,0.0890393,0.0003120358,0.8948882,0.00244016,0.006958919],"study_design_scores_gemma":[0.009386385,0.0009496287,0.0002882842,0.0008684536,0.0002134754,0.000004777617,0.00003606966,0.350387,0.002962792,0.6340807,0.0005015325,0.0003209302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3310569,0.0002529842,0.6515328,0.0006734314,0.01322031,0.002267241,0.00002344537,0.0003104171,0.0006624911],"genre_scores_gemma":[0.9272528,0.00002295084,0.07182968,0.00008519733,0.0006849891,0.00005548033,0.000003449586,0.0000627051,0.000002759233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5961959,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248679514526302,"score_gpt":0.2833332419774985,"score_spread":0.2708464468322355,"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."}}