{"id":"W3100034943","doi":"","title":"Three Dimensional Non-Isothermal Ginzburg-Landau Phase-Field Model for Shape Memory Alloys","year":2016,"lang":"en","type":"article","venue":"","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Toronto; University of New Brunswick","funders":"","keywords":"Shape-memory alloy; Materials science; Cauchy stress tensor; Isothermal process; Ginzburg–Landau theory; Tensor field; Tensor (intrinsic definition); Hysteresis; Infinitesimal strain theory; Landau theory; Martensite; Condensed matter physics; Phase (matter); Diffusionless transformation; Scalar (mathematics); Phase transition; Classical mechanics; Physics; Mathematical analysis; Thermodynamics; Exact solutions in general relativity; Mathematics; Geometry; Superconductivity; Quantum mechanics","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":[0.0001452461,0.0004016855,0.0006046089,0.0004038587,0.0003884374,0.0006145615,0.001265937,0.0009138432,0.001359687],"category_scores_gemma":[0.0002209722,0.0002236188,0.0006822834,0.0003175236,0.0006874131,0.0007151507,0.0003915568,0.000501711,0.0002868248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006631372,"about_ca_system_score_gemma":0.0006283446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003120166,"about_ca_topic_score_gemma":0.002389925,"domain_scores_codex":[0.9999472,0.00001330373,0.000002639088,0.00001004341,0.00001834142,0.000008456809],"domain_scores_gemma":[0.9999388,0.0000145962,0.00001322459,0.000009205978,0.00001202272,0.00001213214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003780961,0.00007802578,0.000627153,0.00007184329,0.00001901141,0.0002875952,0.0001213088,0.7511385,0.01830178,0.2249128,0.0005921117,0.003812075],"study_design_scores_gemma":[0.000005042188,0.00001160542,0.000126341,0.000002368212,0.000002775909,0.00002645634,0.00000729867,0.9869478,0.0004015598,0.01191205,0.000550992,0.000005637351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2413871,0.001565058,0.7236015,0.0009859188,0.0002295275,0.0001157313,0.0003672729,0.0003575412,0.03139033],"genre_scores_gemma":[0.9513711,0.000893098,0.03116807,0.000146387,0.00005994741,0.0002121167,0.0001668871,0.00007249434,0.01590989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003120166,"threshold_uncertainty_score":0.006204009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267372205209877,"score_gpt":0.2859856926630835,"score_spread":0.2533119706109848,"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."}}