{"id":"W876147556","doi":"10.1520/stp38289s","title":"Development of Pseudoelastic TiNi Tribo Materials","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pseudoelasticity; Materials science; Metallurgy; Microstructure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236659,0.0002825734,0.0002170786,0.0004610388,0.0001934744,0.0003629735,0.0004215649,0.0002794314,0.002220448],"category_scores_gemma":[0.0001396285,0.0001962925,0.0001299027,0.0003678139,0.0001554941,0.0005072808,0.0002534933,0.0003601791,0.0007973398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003544546,"about_ca_system_score_gemma":0.0002175423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002232835,"about_ca_topic_score_gemma":0.0009224913,"domain_scores_codex":[0.9999136,0.000004539074,0.00000591759,0.0000185466,0.00004738728,0.000009892479],"domain_scores_gemma":[0.9999486,0.000006519605,0.00001116453,0.000005520594,0.00001724196,0.00001081176],"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":[0.00003996853,0.00005783816,0.0002323536,0.0005926403,0.000007468896,0.0002953142,0.0001616595,0.0006599152,0.8724289,0.01401105,0.0014205,0.1100924],"study_design_scores_gemma":[0.00001424146,0.0002499014,0.0009289827,0.00004496028,0.00001401246,0.001382392,0.00004751878,0.003951604,0.7813154,0.001189685,0.2108451,0.00001621498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4969945,0.1147153,0.1435943,0.0008885852,0.001647308,0.0004158692,0.0005440027,0.0009739721,0.2402262],"genre_scores_gemma":[0.6444879,0.03813891,0.1328031,0.000326182,0.0001458213,0.0002474594,0.0007634044,0.0003234141,0.1827639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002220448,"threshold_uncertainty_score":0.007428169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090919094927612,"score_gpt":0.2019362164520364,"score_spread":0.1810270255027603,"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."}}