{"id":"W2930169563","doi":"10.1007/s42417-019-00092-6","title":"Numerical Computation for the Inertial Coupling Vibration System Using PL Method","year":2019,"lang":"en","type":"article","venue":"Journal of Vibration Engineering & Technologies","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Southwest Petroleum University; National Natural Science Foundation of China","keywords":"Computation; Inertial frame of reference; Laplace transform; Numerical analysis; Coupling (piping); Piecewise; Reliability (semiconductor); Vibration; Computer science; Computer simulation; Applied mathematics; Control theory (sociology); Mathematics; Algorithm; Mathematical analysis; Classical mechanics; Engineering; Simulation; Physics; Acoustics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003735769,0.0003386779,0.0004310304,0.0004351164,0.0005340559,0.0004708491,0.0007352354,0.0008347509,0.006180916],"category_scores_gemma":[0.001250047,0.0002515592,0.0003939339,0.0003973862,0.0004686409,0.0005554328,0.0006184148,0.0005848812,0.000651674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039638,"about_ca_system_score_gemma":0.0007430657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00531081,"about_ca_topic_score_gemma":0.003606734,"domain_scores_codex":[0.9998816,0.00002889807,0.000006839149,0.00001609652,0.00004870083,0.00001784516],"domain_scores_gemma":[0.9996355,0.0001497367,0.00003857629,0.00003348148,0.0001142924,0.00002847276],"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":[0.0001130347,0.00008329024,0.00146556,0.0002031554,0.00003417596,0.0002480311,0.0001342596,0.921055,0.01177857,0.02048071,0.001276989,0.04312716],"study_design_scores_gemma":[0.000008175562,0.00001123969,0.000120252,0.000003679964,0.000002010346,0.00001254973,0.000009671276,0.9985793,0.0003289918,0.0006127963,0.0003086827,0.000002666015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06716911,0.0002736709,0.9165027,0.0002969893,0.0001535465,0.00007694252,0.0001042972,0.0004913375,0.01493127],"genre_scores_gemma":[0.8021859,0.0002150026,0.1875163,0.0001048001,0.00007402241,0.0001659056,0.0001186153,0.0001731131,0.009446385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006180916,"threshold_uncertainty_score":0.02067721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073065614861257,"score_gpt":0.2456021373484583,"score_spread":0.2348714811998457,"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."}}