{"id":"W2983427485","doi":"10.3390/coatings9110737","title":"Effect of Interlayer Thickness on Nano-Multilayer Coating Performance during High Speed Dry Milling of H13 Tool Steel","year":2019,"lang":"en","type":"article","venue":"Coatings","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"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; McMaster University","keywords":"Nanoindentation; Materials science; Focused ion beam; Coating; Scanning electron microscope; Composite material; Tribology; Nano-; Hardened steel; Scratch; Substrate (aquarium); Elastic modulus; Layer (electronics); High-speed steel; Ion","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":[0.0002394098,0.0003508876,0.0002865162,0.0002249189,0.0001564472,0.0003195736,0.0002286054,0.0002670012,0.0004690912],"category_scores_gemma":[0.0004457734,0.0002491684,0.0002275197,0.0001930533,0.0001360625,0.000184527,0.000179586,0.0002826252,0.0001321775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002524521,"about_ca_system_score_gemma":0.0001291138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008615506,"about_ca_topic_score_gemma":0.002243826,"domain_scores_codex":[0.9997903,0.00001932987,0.00001928329,0.0000516871,0.00006726691,0.00005216488],"domain_scores_gemma":[0.999693,0.00007795935,0.00009734767,0.00003120396,0.00006202713,0.00003851411],"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":[0.00006640026,0.00001008514,0.0002129198,0.00003677501,0.000007704566,0.00002349512,0.00001848446,0.0001445648,0.998672,0.000004613361,0.000007391158,0.0007955533],"study_design_scores_gemma":[0.000004515293,0.0003214394,0.005147947,0.000004056274,0.00002120201,0.00003137273,0.00001953154,0.0006472873,0.9936073,0.000002250983,0.0001884848,0.000004702695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990996,0.0002925609,0.0003667477,0.000005220259,0.000004735152,0.000004783563,0.00004014452,0.00001809985,0.0001681937],"genre_scores_gemma":[0.9985617,0.0002372209,0.0008481906,0.00000745699,0.000002828225,0.00000558154,0.0000500436,0.00001269173,0.0002743195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008615506,"threshold_uncertainty_score":0.00183171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005790317078860426,"score_gpt":0.1969365986107915,"score_spread":0.1911462815319311,"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."}}