{"id":"W1988879364","doi":"10.4028/www.scientific.net/msf.738-739.87","title":"<i>In Situ</i> X-Ray Study of Phase Transformations in Ti-Nb-Based SMA under Variable Stress-Temperature Conditions: Preliminary Results","year":2013,"lang":"en","type":"article","venue":"Materials science forum","topic":"Titanium Alloys Microstructure and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Ministry of Education and Science of the Russian Federation","keywords":"Materials science; SMA*; Diffractometer; Shape-memory alloy; In situ; Diffusionless transformation; Stress (linguistics); Diffraction; Ultimate tensile strength; Phase (matter); Martensite; Composite material; Crystallography; Microstructure; Optics; Computer science; Physics","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":[0.0002474782,0.0002941455,0.0002583454,0.0002047299,0.0002334524,0.0002171159,0.0002821091,0.0002507104,0.002113902],"category_scores_gemma":[0.0002156799,0.0001531585,0.0001691109,0.0002861177,0.0002922503,0.0002696542,0.0001324125,0.0002831333,0.0003531059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014764,"about_ca_system_score_gemma":0.00009691909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009538038,"about_ca_topic_score_gemma":0.001507479,"domain_scores_codex":[0.9998608,0.00002322829,0.000009757086,0.00003031544,0.00004780252,0.00002816248],"domain_scores_gemma":[0.9997981,0.00004539353,0.00004763684,0.00003406088,0.00005591556,0.00001883825],"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":[0.00003799333,0.00001546429,0.0001022137,0.00003261553,0.00000255643,0.00002962179,0.0000589691,0.00008298911,0.9988114,0.00003418463,0.00003600548,0.0007561701],"study_design_scores_gemma":[0.000002851596,0.0001589271,0.001341561,0.000001612878,0.000006070509,0.000056191,0.00003857449,0.0003261731,0.9971619,0.000009545789,0.0008936134,0.000003075011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872088,0.0007040679,0.007099508,0.00006287456,0.00001874861,0.00004574413,0.0003729154,0.0001227977,0.004364707],"genre_scores_gemma":[0.986707,0.0005301053,0.006801969,0.00001821892,0.00001690534,0.00003668906,0.0003889056,0.00006994064,0.005430302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002113902,"threshold_uncertainty_score":0.007071733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150371732429024,"score_gpt":0.2496952538078331,"score_spread":0.2381915364835429,"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."}}