{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000429936,0.0002159148,0.0002332271,0.00008190721,0.0002148047,0.00004982704,0.0003792698,0.0001131618,0.008607204],"category_scores_gemma":[0.00006320479,0.0001371485,0.0001333423,0.00006762584,0.00008435351,0.0006177966,0.00005306613,0.00005870368,0.0006592537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000396988,"about_ca_system_score_gemma":0.0001338488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001986778,"about_ca_topic_score_gemma":0.00014225,"domain_scores_codex":[0.9984304,0.00001565631,0.0003752949,0.0003680998,0.0003353074,0.0004752343],"domain_scores_gemma":[0.9989069,0.0003841319,0.00007216472,0.0003635214,0.0001194959,0.0001538041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002316864,0.000153298,0.00002509189,0.00001918225,0.00001415699,0.000001937843,0.0001461707,0.0008160817,0.9760141,0.001414594,0.01319484,0.007968833],"study_design_scores_gemma":[0.003792607,0.0002110692,0.00005238651,0.00004052026,0.00003119639,0.00001065572,0.00001601884,0.5792463,0.4126959,0.002672683,0.0008952885,0.0003354063],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4631593,0.00001016358,0.5305946,0.002696916,0.0003084959,0.0004576761,0.0001169584,0.0001646383,0.002491263],"genre_scores_gemma":[0.971773,0.000002448047,0.02267017,0.002280896,0.0001861719,0.0001968385,0.00001144962,0.0000402947,0.002838774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5784302,"threshold_uncertainty_score":0.9922991,"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."}}