{"id":"W4406518701","doi":"10.1007/s00170-025-15039-3","title":"A comprehensive experimental investigation on the correlation between chip formation, machined surface integrity, and particle emissions during high-speed milling of TC4 titanium alloy","year":2025,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface integrity; Materials science; Titanium alloy; Chip formation; Chip; Alloy; Particle (ecology); Metallurgy; Machining; Tool wear; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003541719,0.0002448182,0.0003073133,0.0001988122,0.0002835571,0.0002729781,0.0003635289,0.0003539403,0.000693611],"category_scores_gemma":[0.0006275528,0.0002010464,0.0002331023,0.0002432932,0.0003839779,0.0002798484,0.0001720005,0.0002319517,0.0001216853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002692732,"about_ca_system_score_gemma":0.0002361903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009558093,"about_ca_topic_score_gemma":0.001638074,"domain_scores_codex":[0.9997082,0.00002726229,0.00001476044,0.00006340971,0.0001449845,0.00004128159],"domain_scores_gemma":[0.9993444,0.000251364,0.0001073142,0.00008914132,0.0001915462,0.00001618226],"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":[0.0003450502,0.00005650751,0.002701635,0.0000677246,0.00001466162,0.00005541286,0.00007188547,0.0005146517,0.9923263,0.00003969605,0.0000380126,0.003768592],"study_design_scores_gemma":[0.00000841685,0.0005512004,0.02517824,0.000001710536,0.00002022732,0.00006063387,0.00006076342,0.003215419,0.9706098,0.00001802872,0.0002651429,0.00001040653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976639,0.0001149728,0.00192291,0.000006306486,0.000004557336,0.000009488833,0.00006089303,0.00001929878,0.0001977506],"genre_scores_gemma":[0.9984586,0.00005036452,0.001074797,0.0000047163,0.00000240756,0.000006925065,0.0000822857,0.000006567396,0.0003133801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009558093,"threshold_uncertainty_score":0.002320409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144030170637065,"score_gpt":0.2544470452307798,"score_spread":0.2400440281670733,"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."}}