{"id":"W2114784885","doi":"10.1007/978-3-642-59768-8_8","title":"Ti-Ni-Mo Shape-Memory Alloys for Medical Applications","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Shape-memory alloy; SMA*; Pseudoelasticity; Materials science; Mechanical engineering; Structural engineering; Orthodontics; Composite material; Computer science; Engineering; Medicine; Martensite; 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":[0.00007888459,0.0007841745,0.0004134339,0.0006634697,0.0004525067,0.000780327,0.000881914,0.000552976,0.0215567],"category_scores_gemma":[0.0001150476,0.0002491399,0.0002553439,0.001004364,0.0002833888,0.001108456,0.000472648,0.001055476,0.01073834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290176,"about_ca_system_score_gemma":0.0004952217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008525078,"about_ca_topic_score_gemma":0.003022121,"domain_scores_codex":[0.9999392,0.000003154414,0.000002236273,0.000009722377,0.0000397661,0.000005807092],"domain_scores_gemma":[0.9999788,0.000005065893,0.000002030614,0.000004019991,0.000007959787,0.000002074898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000661154,0.00008793746,0.00008415541,0.001155886,0.00002054692,0.0001966926,0.000171605,0.001292376,0.07742237,0.1505128,0.1418866,0.6271029],"study_design_scores_gemma":[0.00000399676,0.00002120977,0.0001518932,0.00008451072,0.000008192314,0.0003785287,0.0000294533,0.0006634933,0.01309123,0.01188725,0.9736733,0.000006820369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005790265,0.1217428,0.04358958,0.001382531,0.004507405,0.0001184791,0.0004432942,0.0009124198,0.8215132],"genre_scores_gemma":[0.01486844,0.03308828,0.01510063,0.0003673669,0.0003541041,0.00006497336,0.0003671274,0.0002473548,0.9355417],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0215567,"threshold_uncertainty_score":0.07211435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120014848635222,"score_gpt":0.2657740428180499,"score_spread":0.2445738943316977,"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."}}