{"id":"W2031399396","doi":"10.1016/j.cirp.2012.03.144","title":"Prediction of workpiece dynamics and its effects on chatter stability in milling","year":2012,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":204,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Pratt and Whitney Canada","keywords":"Machining; Stability (learning theory); Dynamics (music); Process (computing); Task (project management); Engineering; Mechanical engineering; Control theory (sociology); Computer science; Artificial intelligence; Control (management); Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000658909,0.0004797761,0.0004769278,0.0003218557,0.000273287,0.0004196491,0.0004236591,0.0008120455,0.0005863575],"category_scores_gemma":[0.003808635,0.0003406832,0.0003074055,0.0001593548,0.0004199753,0.0004448667,0.0003542362,0.0006271232,0.00009649526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286442,"about_ca_system_score_gemma":0.0002735127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00421201,"about_ca_topic_score_gemma":0.002709809,"domain_scores_codex":[0.9998378,0.00005995791,0.000007880841,0.00003638216,0.00003886669,0.00001916653],"domain_scores_gemma":[0.9954358,0.003901529,0.0002336481,0.0001131596,0.0002410748,0.00007472416],"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":[0.0003505649,0.00006914568,0.003691464,0.00005819347,0.00001671766,0.00007380215,0.00005941536,0.9660609,0.01541935,0.000449486,0.00009202852,0.01365901],"study_design_scores_gemma":[0.00000208599,0.00002790581,0.000604817,0.000001205192,0.0000017587,0.000003001689,0.000001919515,0.9978774,0.001437711,0.00003212035,0.000007919332,0.000002299132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733395,0.0002462283,0.1250564,0.00009107555,0.00002217972,0.00001395014,0.00003680136,0.0002258305,0.0009680571],"genre_scores_gemma":[0.9969067,0.00003261119,0.002799463,0.000003191698,0.000003085842,0.00000404197,0.00001050776,0.000009310778,0.0002309776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00421201,"threshold_uncertainty_score":0.008374989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749201953554595,"score_gpt":0.2498912574726319,"score_spread":0.2223992379370859,"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."}}