{"id":"W3043266634","doi":"10.1139/tcsme-2020-0030","title":"Research on the relationship between turning temperature rising and turning vibration based on particle swarm optimization","year":2020,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jiangsu Normal University; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Particle swarm optimization; Vibration; Acceleration; Engineering; Turning point; Control theory (sociology); Mathematics; Computer science; Acoustics; Artificial intelligence; Algorithm; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003214178,0.0001103272,0.0001034717,0.00003875057,0.0006152017,0.00006077104,0.0001243625,0.0001241635,0.000006078497],"category_scores_gemma":[0.0002814602,0.00008831873,0.0001072458,0.0005180142,0.00002511105,0.0001108692,0.000003604355,0.0005840043,3.760458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147707,"about_ca_system_score_gemma":0.00004954419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007509252,"about_ca_topic_score_gemma":0.0001408931,"domain_scores_codex":[0.9992665,0.00002429811,0.0001678859,0.000145133,0.0001750768,0.000221076],"domain_scores_gemma":[0.99881,0.0008424602,0.00002473708,0.0001318315,0.00005629172,0.0001346629],"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":[0.000004990132,0.000002150422,0.00002726265,0.00007548685,0.00001576345,4.07331e-8,0.0003099506,0.9970031,0.0007797588,0.001627399,0.00002258336,0.0001315543],"study_design_scores_gemma":[0.0001832368,0.00005318116,0.0001910242,0.0001039873,0.0000258871,2.291268e-7,0.000162014,0.9893686,0.009675264,0.0000774795,0.00006669391,0.00009240076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03913283,0.00003943469,0.957003,0.003273327,0.00008189705,0.0003213389,0.00003054707,0.00009795583,0.00001964684],"genre_scores_gemma":[0.9825436,0.000005727174,0.01709745,0.0002011511,0.00006491548,0.00003351519,0.00001062074,0.00003807949,0.000004905016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9434108,"threshold_uncertainty_score":0.4731696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0421721151091124,"score_gpt":0.2660420950263486,"score_spread":0.2238699799172362,"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."}}