{"id":"W1995066419","doi":"10.1016/j.apsusc.2014.08.033","title":"Improvement of wear resistance of sprayed layer on 52100 steel by friction stir processing","year":2014,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Tempering; Microstructure; Friction stir processing; Metallurgy; Toughness; Wear resistance; Coating; Layer (electronics); Composite material; Chromium","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":[0.0001538326,0.0002508249,0.0003231172,0.0002131059,0.0001740834,0.0001929322,0.000317938,0.0003613986,0.001342381],"category_scores_gemma":[0.000287642,0.0002136662,0.0003952559,0.0001533941,0.0001332293,0.0002077622,0.0001427341,0.000256933,0.0002057848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825371,"about_ca_system_score_gemma":0.0001465123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009795299,"about_ca_topic_score_gemma":0.002000617,"domain_scores_codex":[0.9998603,0.000007495189,0.000008549007,0.00002668704,0.00006703461,0.00002990534],"domain_scores_gemma":[0.9998583,0.00002579853,0.00002656515,0.00001899975,0.00005774045,0.00001269692],"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":[0.0001000418,0.000009202853,0.000133493,0.00004391771,0.000004254112,0.00002405639,0.00002491416,0.00008568105,0.9983181,0.00001118845,0.00003305946,0.001212036],"study_design_scores_gemma":[0.00001024261,0.0003394703,0.00319021,0.00000329298,0.00001443892,0.00004525019,0.00002513031,0.0009717505,0.9949743,0.000006160963,0.0004145885,0.000005251209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998414,0.0003189186,0.0007884234,0.00001744404,0.00001735981,0.000005244196,0.00003523248,0.00005224735,0.0003511045],"genre_scores_gemma":[0.9977963,0.0001472069,0.0008110826,0.000009307912,0.000004018764,0.000003552562,0.00005318981,0.00001305967,0.001162247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001342381,"threshold_uncertainty_score":0.004490733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006954165741846905,"score_gpt":0.230699456859513,"score_spread":0.2237452911176661,"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."}}