{"id":"W4376631429","doi":"10.1016/j.jmapro.2023.05.042","title":"Assessment of the tribological and wear performance of new duplex AlTiN-based coating systems at high temperatures when threading super duplex stainless steel","year":2023,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Tribometer; Tribology; Coating; Machining; Tool wear; Composite material; Threading (protein sequence); Chip formation; Metallurgy; Mechanical engineering; 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":[0.00027834,0.0001981083,0.0002045145,0.0002340948,0.0002057979,0.0002991961,0.0002104881,0.0003140257,0.000890231],"category_scores_gemma":[0.000641328,0.000139789,0.0001484926,0.0001921665,0.0001845025,0.0002446192,0.0001462061,0.0002312997,0.0001669392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798636,"about_ca_system_score_gemma":0.0001254643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007302858,"about_ca_topic_score_gemma":0.001924791,"domain_scores_codex":[0.9997249,0.00002919549,0.00002771707,0.00004133653,0.0001276447,0.0000491305],"domain_scores_gemma":[0.9996341,0.00005488198,0.00006088988,0.00004660599,0.0001640508,0.00003939919],"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":[0.0001288287,0.000009704872,0.0004468231,0.00003514097,0.000004600348,0.00003124441,0.00005738074,0.00008691718,0.9978572,0.0000184652,0.00002577906,0.001297956],"study_design_scores_gemma":[0.000005132543,0.0006003189,0.007040469,0.000003374782,0.00001898618,0.00007248694,0.00007855592,0.001270943,0.9902332,0.000007237997,0.0006612826,0.000008000737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990941,0.0002085367,0.000454628,0.000006106479,0.000008713051,0.000004978211,0.00002701723,0.00001097685,0.0001849535],"genre_scores_gemma":[0.9984176,0.0001150544,0.0007107126,0.000005550613,0.000002685281,0.000004590657,0.0000452911,0.000003840242,0.0006945929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000890231,"threshold_uncertainty_score":0.002978086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199362477709058,"score_gpt":0.2328189293020059,"score_spread":0.2108253045249153,"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."}}