{"id":"W2139609605","doi":"","title":"IMPROVEMENT OF THE FUNCTIONAL PROPERTIES OF NANOSTRUCTURED Ti-Ni SHAPE MEMORY ALLOYS BY MEANS OF THERMOMECHANICAL PROCESSING","year":2014,"lang":"en","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education and Science of the Russian Federation","keywords":"Thermomechanical processing; Microstructure; Materials science; Shape-memory alloy; Annealing (glass); Metallurgy; Austenite; Grain size; Severe plastic deformation; Texture (cosmology); Composite material; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001545737,0.0007250361,0.001077397,0.0004794119,0.0003665019,0.0000663868,0.003123509,0.001296087,0.0001758698],"category_scores_gemma":[0.002508296,0.000540664,0.0003692528,0.001637857,0.002148723,0.0004164817,0.0009008665,0.00109954,0.00001351316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408056,"about_ca_system_score_gemma":0.0006784987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021017,"about_ca_topic_score_gemma":0.0002162729,"domain_scores_codex":[0.9952479,0.0001946318,0.001318673,0.0009265647,0.001136189,0.001176054],"domain_scores_gemma":[0.995993,0.0001830427,0.001114505,0.001985458,0.0006003377,0.0001237284],"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":[0.0002109352,0.0003556834,0.001856063,0.0004978557,0.00006576367,0.000003627229,0.00044839,0.002959785,0.9859052,0.001092843,0.001341501,0.005262384],"study_design_scores_gemma":[0.001156631,0.0007128617,0.001752193,0.0003180888,0.0001399784,0.00004741329,0.003983916,0.01223916,0.9770125,0.001494276,0.0005998421,0.0005431442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750858,0.0006010205,0.01655385,0.003563774,0.0004042484,0.001738493,0.0001890412,0.001577119,0.0002866742],"genre_scores_gemma":[0.9952983,0.0000415877,0.003447236,0.0002895217,0.00003873224,0.0003812612,0.0000147083,0.00009962657,0.0003889908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02021256,"threshold_uncertainty_score":0.9997045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320730604991415,"score_gpt":0.2172913644431574,"score_spread":0.2040840583932433,"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."}}