{"id":"W2083696688","doi":"10.1016/j.wear.2014.11.027","title":"Characterization of fretting wear of cobalt-based superalloys at high temperature for aero-engine combustor components","year":2014,"lang":"en","type":"article","venue":"Wear","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec; Pratt and Whitney Canada","keywords":"Materials science; Tribology; Tribometer; Fretting; Abrasive; Oxide; Delamination (geology); Composite material; Superalloy; Stellite; Metallurgy; Cobalt oxide; Microstructure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113608,0.0001119098,0.0002996799,0.00005153109,0.00003985641,0.000007577511,0.000110141,0.00009530168,0.00009578456],"category_scores_gemma":[0.00003275057,0.0001042999,0.00009708362,0.0001134955,0.0000159083,0.00003975801,0.00001630917,0.00006961935,0.000004493068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002274161,"about_ca_system_score_gemma":0.000003402925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000286239,"about_ca_topic_score_gemma":0.000005538789,"domain_scores_codex":[0.9992911,0.00002489338,0.0002757878,0.0001187982,0.0001431389,0.0001463486],"domain_scores_gemma":[0.9995739,0.00006043196,0.00006511205,0.0001871891,0.00005924638,0.00005409423],"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":[0.00001686843,0.0000243587,0.0006302081,0.0002078461,0.00004689178,1.392226e-7,0.00002676281,0.003599684,0.9947156,0.0004219914,0.00004926775,0.0002604062],"study_design_scores_gemma":[0.0007696445,0.00007596919,0.004561433,0.0001134369,0.00005928861,1.313697e-7,0.00000645823,0.1790142,0.81437,0.00001776957,0.0008676754,0.0001439493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897632,0.00002005003,0.009704169,0.00006800121,0.000117916,0.0001347444,0.0001239659,0.00005218486,0.00001574885],"genre_scores_gemma":[0.9978299,0.00001364347,0.001621093,0.00003244344,0.00006298615,0.00001060828,0.0003548372,0.00002477981,0.0000497414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1803455,"threshold_uncertainty_score":0.4253225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007389912096964441,"score_gpt":0.1780765488298926,"score_spread":0.1706866367329281,"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."}}