{"id":"W333355882","doi":"10.1007/978-3-642-59768-8_2","title":"Processing and Quality Control of Binary NiTi Shape Memory Alloys","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; Nickel titanium; Materials science; Intermetallic; Martensite; Fabrication; Quality (philosophy); Alloy; Mechanical engineering; Metallurgy; Microstructure; Engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005930506,0.0003373083,0.0006319642,0.000153405,0.0001385207,0.00006610416,0.0002705998,0.0002799241,0.01888451],"category_scores_gemma":[0.00002196861,0.0003014778,0.0001099996,0.00002745837,0.0003913191,0.0003896451,0.00003603491,0.0002041398,0.0002672611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003190199,"about_ca_system_score_gemma":0.0001650389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003335495,"about_ca_topic_score_gemma":0.00002879744,"domain_scores_codex":[0.9980659,0.00005581297,0.0008009301,0.0003987463,0.0004295075,0.0002490448],"domain_scores_gemma":[0.9989469,0.0001815251,0.000295922,0.0003229817,0.000138975,0.0001137105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009812807,0.0003216937,0.00006517092,0.004514933,0.0002339128,0.00007586765,0.003345913,0.000252673,0.7524028,0.1377033,0.00122075,0.09888168],"study_design_scores_gemma":[0.04528138,0.004687689,0.01148641,0.01685229,0.006428694,0.00120056,0.003470855,0.02690936,0.3378612,0.1735091,0.3479949,0.02431755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03887942,0.001061154,0.0003405588,0.0001915293,0.0001505373,0.0006200816,0.0002932925,0.0002050182,0.9582584],"genre_scores_gemma":[0.8508608,0.0002289538,0.001380846,0.0007485243,0.0001490779,0.0000298679,0.00005457541,0.00008698629,0.1464603],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8119814,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854092378542846,"score_gpt":0.2734197507699146,"score_spread":0.2348788269844862,"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."}}