{"id":"W2169108418","doi":"10.1109/afrcon.2009.5308079","title":"A dual time-frequency-feature investigation and diagnostics of a cracked de-laval rotor","year":2009,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eccentricity (behavior); Transient (computer programming); Rotor (electric); Time–frequency analysis; Wavelet; Vibration; Feature (linguistics); Wavelet transform; Stiffness; Dual (grammatical number); Computer science; Structural engineering; Acoustics; Engineering; Physics; Artificial intelligence; Mechanical engineering; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001078765,0.0001263706,0.0001550368,0.00008015354,0.00001844943,0.00001842108,0.00006859226,0.0001169725,0.00004125284],"category_scores_gemma":[0.0003160804,0.0001200005,0.00002600745,0.0001191324,0.00003422732,0.0001061263,0.0000124928,0.0001342309,0.000005229621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000030796,"about_ca_system_score_gemma":0.00001718376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002263131,"about_ca_topic_score_gemma":0.00001618725,"domain_scores_codex":[0.9994649,0.00001955314,0.0001531272,0.0001074108,0.0001071384,0.0001478901],"domain_scores_gemma":[0.9995564,0.0001477254,0.00002606437,0.0001509536,0.00003591781,0.00008298531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001471853,0.0001522943,0.04355196,0.0002800176,0.00007498945,0.0000452676,0.001616611,0.0004517419,0.5841995,0.01063389,0.3358021,0.0231768],"study_design_scores_gemma":[0.0007564187,0.0004674937,0.2055772,0.0002555692,0.00008226324,0.0000556378,0.00002548678,0.05463601,0.7010692,0.0347675,0.001627007,0.0006801575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919669,0.0003959065,0.001109099,0.0006876736,0.00003002342,0.0003453952,0.00001792296,0.0007866471,0.004660412],"genre_scores_gemma":[0.9548151,0.0002574804,0.0445314,0.0001913716,0.00006373273,0.00002949816,0.00001680662,0.00001878302,0.00007577313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3341751,"threshold_uncertainty_score":0.489348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004194146900929381,"score_gpt":0.2266025987063768,"score_spread":0.2224084518054475,"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."}}