{"id":"W4402127454","doi":"10.3390/ma17174328","title":"Effect of Deposition Parameters on Micromechanical Properties and Machining Performance of CrN Coating for Wet Finish Turning of Ti6Al4V Alloy","year":2024,"lang":"en","type":"article","venue":"Materials","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Machining; Coating; Physical vapor deposition; Titanium alloy; Deposition (geology); Metallurgy; Tool wear; Alloy; Composite material","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":[0.0002189378,0.0003430463,0.0002640004,0.0002314647,0.0001554612,0.0002885258,0.000324924,0.000285083,0.0005169353],"category_scores_gemma":[0.0005725008,0.0002205666,0.0001822055,0.0001641751,0.0001424066,0.0002560511,0.000142905,0.0001835047,0.0001374224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002837627,"about_ca_system_score_gemma":0.0001459249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271382,"about_ca_topic_score_gemma":0.005135512,"domain_scores_codex":[0.9997782,0.0000188891,0.00001525264,0.00005026902,0.0000941363,0.00004326651],"domain_scores_gemma":[0.9997756,0.00005244424,0.00006977029,0.00002210377,0.00006599131,0.00001409038],"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":[0.00004578775,0.00001186375,0.0003400883,0.0001105106,0.000007052051,0.0000518811,0.00002860368,0.0002720118,0.9970691,0.00001580682,0.00003830236,0.002009086],"study_design_scores_gemma":[0.000005337767,0.0001908616,0.003886612,0.000005685449,0.00001812541,0.0000754944,0.00003120238,0.001612946,0.9934168,0.000005832639,0.0007435094,0.000007593409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965978,0.001024629,0.001199208,0.00002105637,0.00002616086,0.00001479778,0.00006551635,0.00003360485,0.001017282],"genre_scores_gemma":[0.9966821,0.0004859893,0.002153047,0.0000106859,0.000005714461,0.000008620123,0.0000558759,0.000022546,0.0005754693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001271382,"threshold_uncertainty_score":0.002527952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673678334494351,"score_gpt":0.2161113743848273,"score_spread":0.1993745910398838,"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."}}