{"id":"W4407959043","doi":"10.1016/j.rineng.2025.104415","title":"Enhancing machining efficiency of UNS S45000 alloy steel using cryogenically treated TiAlSiN coated tungsten carbide inserts","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Tungsten carbide; Metallurgy; Machining; Carbide; Materials science; Alloy; Tungsten","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":[0.0001307469,0.0002303501,0.0002004017,0.0002642819,0.0001454176,0.0003058862,0.0002776466,0.0002561883,0.0007270208],"category_scores_gemma":[0.0001780006,0.0001772741,0.0002854785,0.0001841854,0.0001646238,0.000163915,0.0001161051,0.0001774713,0.0002409213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723467,"about_ca_system_score_gemma":0.0001613958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357265,"about_ca_topic_score_gemma":0.006053039,"domain_scores_codex":[0.9998405,0.000009536935,0.00001067708,0.00002820747,0.00008113,0.00002986155],"domain_scores_gemma":[0.9998587,0.00001379805,0.00005182495,0.00001519507,0.000046414,0.00001405065],"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":[0.00006179919,0.000007907573,0.0004268888,0.00005005649,0.000004728911,0.00004207495,0.00002332654,0.000168043,0.9980131,0.00001383444,0.00002477338,0.001163459],"study_design_scores_gemma":[0.000005112457,0.0004392054,0.009126949,0.000005285525,0.00001736265,0.00007518392,0.00003416547,0.00100331,0.9884043,0.000004155811,0.0008780737,0.000007007086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983391,0.0003132466,0.0006271021,0.000009660903,0.000005024166,0.000007974065,0.00005082955,0.00002266532,0.0006244399],"genre_scores_gemma":[0.9973034,0.0001647903,0.001357184,0.000007252701,0.000001327959,0.000004638547,0.00009866699,0.00001924624,0.001043499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001357265,"threshold_uncertainty_score":0.00269872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006987619993166115,"score_gpt":0.2379851582374629,"score_spread":0.2309975382442968,"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."}}