{"id":"W4407367720","doi":"10.1016/j.wear.2025.205855","title":"On the tribological and thermal aspects of cryogenic machining of Inconel 718 and their effects on surface integrity","year":2025,"lang":"en","type":"article","venue":"Wear","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Inconel; Surface integrity; Materials science; Tribology; Machining; Cryogenic temperature; Metallurgy; Cryogenic treatment; Thermal; Forensic engineering; Mechanical engineering; Composite material; Engineering; Thermodynamics; Microstructure; Alloy","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":[0.0001041912,0.0001752716,0.0001883249,0.0001977821,0.0002874339,0.0001916262,0.0002085233,0.0001707731,0.0009752974],"category_scores_gemma":[0.0002098545,0.0001055519,0.0001456844,0.000210915,0.0002025614,0.0001658192,0.0001128817,0.0001965311,0.0001401245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453138,"about_ca_system_score_gemma":0.0001579641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290418,"about_ca_topic_score_gemma":0.00455248,"domain_scores_codex":[0.9998345,0.0000149498,0.000005699637,0.00002674816,0.00008735968,0.00003064652],"domain_scores_gemma":[0.9998417,0.00004676403,0.00003338198,0.00001479418,0.00005523198,0.000008140123],"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":[0.0001709213,0.00003421188,0.003576171,0.0002013417,0.00001081866,0.0002391379,0.0001791364,0.004388778,0.9683208,0.0002531966,0.0001844851,0.02244081],"study_design_scores_gemma":[0.000007191658,0.0007531182,0.05754157,0.00002290259,0.00003782341,0.0003567001,0.0002460807,0.01723928,0.9187188,0.0001245865,0.004924621,0.00002739779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964637,0.0007505515,0.001556305,0.00003008283,0.000006994164,0.000004996916,0.00003452426,0.00001696008,0.001135837],"genre_scores_gemma":[0.9983926,0.0002728075,0.0005971241,0.00000629574,0.000001940352,0.000002503649,0.00004021556,0.000005456464,0.000681015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002290418,"threshold_uncertainty_score":0.004554212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006708179285393088,"score_gpt":0.2198065160619646,"score_spread":0.2130983367765716,"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."}}