{"id":"W1502256786","doi":"10.4236/msa.2015.67071","title":"Wear Resistance and Indentation Behavior of Equiatomic Superelastic TiNi and 60NiTi","year":2015,"lang":"en","type":"article","venue":"Materials Sciences and Applications","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Glenn Research Center; National Aeronautics and Space Administration","keywords":"Materials science; Pseudoelasticity; Shape-memory alloy; Indentation; Reciprocating motion; Alloy; Ultimate tensile strength; Composite material; Metallurgy; Wear resistance; Martensite; Microstructure; Mechanical engineering","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":[0.0005497897,0.00008052636,0.0001300054,0.00006315669,0.0002284833,0.000164977,0.0001136443,0.00003425842,0.00007255567],"category_scores_gemma":[0.00001832682,0.00007026738,0.000006492415,0.0001387444,0.0005817477,0.0003428162,0.00005212212,0.00002129555,0.00001666968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000905121,"about_ca_system_score_gemma":0.00004839844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005429264,"about_ca_topic_score_gemma":0.0000414658,"domain_scores_codex":[0.9991848,0.00004050315,0.000250174,0.0002240938,0.0001668098,0.0001335937],"domain_scores_gemma":[0.9996125,0.0000553453,0.00008914415,0.0001012931,0.00005232527,0.0000894332],"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":[0.000008405585,0.00002370778,0.001201623,0.00004172411,9.453641e-7,1.539069e-7,0.0007933516,0.000004582039,0.9836575,0.01400951,0.00002055406,0.0002379432],"study_design_scores_gemma":[0.001114565,0.0001739932,0.03505271,0.00008529771,0.0001127303,0.00006805728,0.004998383,0.0001513991,0.9442149,0.0117965,0.001809139,0.0004223635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977583,0.0001802954,0.0009688114,0.0001372741,0.0000669644,0.0003477184,0.0001067641,0.00002697108,0.0004069338],"genre_scores_gemma":[0.9970936,0.0000679156,0.002539199,0.00002890868,0.00003039713,0.0001829171,0.0000066024,0.000004807406,0.00004572352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03944264,"threshold_uncertainty_score":0.2865421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395667217325678,"score_gpt":0.2927753839692011,"score_spread":0.2532086622366333,"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."}}