{"id":"W4200340955","doi":"10.1016/j.jmrt.2021.11.094","title":"Twin-based martensite stabilizing and improving the shape memory response of near equiatomic NiTi alloy through multi-axial forging","year":2021,"lang":"en","type":"article","venue":"Journal of Materials Research and Technology","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Shape-memory alloy; Nickel titanium; Martensite; Forging; Isothermal process; Alloy; Metallurgy; Deformation (meteorology); Composite material; Thermodynamics; 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":[0.00008278543,0.0001957841,0.0001595179,0.0001415324,0.0001253832,0.0001727942,0.0002777308,0.000137886,0.000668805],"category_scores_gemma":[0.0001654182,0.000110508,0.0001288882,0.0001211792,0.0001546852,0.000217737,0.0001341046,0.0002155018,0.0001220758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255577,"about_ca_system_score_gemma":0.00009468826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003739448,"about_ca_topic_score_gemma":0.001634678,"domain_scores_codex":[0.9999278,0.000003492404,0.000004304761,0.00001928136,0.00003220824,0.00001298791],"domain_scores_gemma":[0.999943,0.000006633027,0.00001712823,0.000009072162,0.00001779003,0.000006332255],"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":[0.00004700918,0.000007296367,0.0001847709,0.00002877678,0.000002630906,0.00002729597,0.00002326063,0.0001679295,0.997098,0.00006789507,0.00001714139,0.002328108],"study_design_scores_gemma":[0.000001884028,0.0001269246,0.001627959,0.000001295524,0.000005071312,0.00006017668,0.00001725881,0.001207917,0.9964281,0.00001446395,0.0005058823,0.000003121054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967281,0.0003025502,0.002278218,0.0000139241,0.00001115737,0.00000746384,0.00002498952,0.00003668152,0.0005969706],"genre_scores_gemma":[0.9974496,0.0001161586,0.001629495,0.000006655933,0.000002292866,0.000003485623,0.00002544152,0.000009500764,0.0007573876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000668805,"threshold_uncertainty_score":0.00223732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05937021993602131,"score_gpt":0.3332215543237023,"score_spread":0.2738513343876809,"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."}}