{"id":"W2570452939","doi":"10.1016/j.wear.2016.11.041","title":"Influence of different cryogenic treatments on high-temperature wear behavior of M2 steel","year":2017,"lang":"en","type":"article","venue":"Wear","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Shanxi Scholarship Council of China","keywords":"Cryogenic treatment; Materials science; Adhesive wear; Microstructure; Cryogenic temperature; Wear resistance; Ball (mathematics); Metallurgy; Composite material; Hot work; Friction coefficient; Tool steel","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111583,0.0001457676,0.0002977589,0.00003577183,0.0001391361,0.00004992939,0.000433163,0.00007785734,0.0003433543],"category_scores_gemma":[0.00005445247,0.00009400846,0.00008018444,0.00002230068,0.0001735164,0.0001371856,0.0001102635,0.00007218271,0.000162995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001672661,"about_ca_system_score_gemma":0.00002457625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002964587,"about_ca_topic_score_gemma":0.00001785166,"domain_scores_codex":[0.9990057,0.00006235654,0.0002353616,0.0002177007,0.0003052492,0.0001736317],"domain_scores_gemma":[0.9989697,0.00002101812,0.0002032079,0.000690639,0.00005452138,0.00006087336],"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":[0.0000909784,0.0001816155,0.00631397,0.00003577816,0.00001485606,0.000003965985,0.000170356,0.00002059997,0.9927165,0.0003080351,0.0000259005,0.000117465],"study_design_scores_gemma":[0.0003111757,0.0003026202,0.2772971,0.00006371985,0.00004005501,0.000001033678,0.00001507819,8.81995e-7,0.7218083,0.00004890652,0.00003885188,0.00007224485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991747,0.00006109703,1.003908e-7,0.00003989593,0.0002068275,0.00019906,0.00006783463,0.00001618976,0.0002343239],"genre_scores_gemma":[0.9975348,0.0000437717,0.00008165788,0.00002210697,0.0000360546,0.00002147327,0.000002887445,0.0000130442,0.002244208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2709832,"threshold_uncertainty_score":0.3833554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994928233147353,"score_gpt":0.2566466849671091,"score_spread":0.2366974026356356,"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."}}