{"id":"W2072519454","doi":"10.1016/j.triboint.2014.05.021","title":"Effects of surface nanocrystallization on tribological properties of 316L stainless steel under MoDTC/ZDDP lubrications","year":2014,"lang":"en","type":"article","venue":"Tribology International","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Beijing Higher Education Young Elite Teacher Project; QuantERA; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; State Key Laboratory of Tribology; Natural Science Foundation of Beijing Municipality; Ukrainian Canadian Foundation of Taras Shevchenko; National Science Foundation","keywords":"Tribometer; Materials science; Tribology; Lubrication; Metallurgy; X-ray photoelectron spectroscopy; Forging; Friction coefficient; Composite material; Chemical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001805865,0.0001178925,0.0002304744,0.00009656741,0.00002361657,0.000005514933,0.0002321932,0.0001234233,0.00006292501],"category_scores_gemma":[0.000177571,0.00009762066,0.00006304224,0.0001117499,0.00006698108,0.00005997787,0.00003678926,0.0001150256,0.00001440161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004073314,"about_ca_system_score_gemma":0.00001557169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005642521,"about_ca_topic_score_gemma":0.000002184528,"domain_scores_codex":[0.9991222,0.00008739857,0.0003144928,0.0001397309,0.0002069894,0.0001291975],"domain_scores_gemma":[0.9994749,0.0001144715,0.00009488782,0.0001356007,0.0001479114,0.00003224548],"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":[0.00007423219,0.0001929055,0.0001851035,0.0001464017,0.0001429461,8.144926e-7,0.0001289676,0.03593289,0.7031395,0.2594015,0.0002418965,0.0004128065],"study_design_scores_gemma":[0.001217855,0.0002592492,0.003158291,0.00008536533,0.00004325769,0.000006299254,0.00004327815,0.2260288,0.7579827,0.009270583,0.001705026,0.0001993213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113666,0.0001204577,0.08555709,0.0001625815,0.0009823968,0.000184284,0.00001637064,0.00007605041,0.001534214],"genre_scores_gemma":[0.9987976,0.00005383038,0.0004710427,0.00004560703,0.00004175623,0.00001608303,0.00003439523,0.00001409463,0.0005256016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2501309,"threshold_uncertainty_score":0.3980855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139264364922313,"score_gpt":0.2062130702359818,"score_spread":0.1922866337437505,"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."}}