{"id":"W2560441159","doi":"10.4028/www.scientific.net/amm.860.46","title":"Marforming: A Novel Method for Grain Refinement in Ni-Ti Based Shape Memory Alloys","year":2016,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Electron backscatter diffraction; Materials science; Microstructure; Annealing (glass); Metallurgy; Alloy; Ternary operation; Deformation (meteorology); Liquid nitrogen; Diffraction; Shape-memory alloy; Composite material; Optics; Computer science","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":[0.002538127,0.0002650085,0.0004259828,0.0001507305,0.0001335181,0.00009462213,0.0002561708,0.0001397127,0.001234458],"category_scores_gemma":[0.00007209138,0.0001956433,0.00004371576,0.000102248,0.00002113797,0.0001608569,0.00008440377,0.00003735738,0.0000482394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006811373,"about_ca_system_score_gemma":0.00007735549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000314295,"about_ca_topic_score_gemma":0.0000510503,"domain_scores_codex":[0.9981318,0.00005151361,0.0006217128,0.0004777599,0.0002260449,0.0004912028],"domain_scores_gemma":[0.9991298,0.0002109864,0.000174832,0.0003224608,0.00005255566,0.0001093445],"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":[0.0001699839,0.00006500023,1.497059e-7,0.0001028456,0.000006221679,8.284406e-7,0.0001051342,0.000003920507,0.8525084,0.1432891,0.0001344098,0.003614081],"study_design_scores_gemma":[0.003362059,0.0000949015,0.00001239829,0.00007504961,0.00003566693,0.000006182058,0.0001102752,0.0008911514,0.9726657,0.01828451,0.004127939,0.0003341749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2218639,0.00001458177,0.7732477,0.001124976,0.0008444728,0.001775471,0.0005478801,0.0001289238,0.0004521242],"genre_scores_gemma":[0.5738746,0.00002741179,0.4225881,0.001315342,0.0001382402,0.001726356,0.000054565,0.00007459623,0.0002008106],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3520107,"threshold_uncertainty_score":0.9996786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616506940125985,"score_gpt":0.2693344015720852,"score_spread":0.2431693321708254,"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."}}