{"id":"W2075482601","doi":"10.4028/www.scientific.net/msf.426-432.2273","title":"Training of Magnetic Shape Memory Alloys","year":2003,"lang":"en","type":"article","venue":"Materials science forum","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Shape-memory alloy; Training (meteorology); Metallurgy; Engineering physics","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":[0.002680963,0.0002061944,0.0003446551,0.0002483394,0.0004001641,0.0002106268,0.0008332832,0.00006466422,0.01197589],"category_scores_gemma":[0.0003780845,0.000184953,0.00005581644,0.0006244903,0.001071926,0.001014876,0.00008205911,0.0000565623,0.0005186378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000557745,"about_ca_system_score_gemma":0.0003946187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002178935,"about_ca_topic_score_gemma":0.000009615253,"domain_scores_codex":[0.9972367,0.0001299894,0.0006378046,0.0004411532,0.0007198564,0.000834516],"domain_scores_gemma":[0.9989295,0.00006938852,0.0001870795,0.0004869417,0.0001562125,0.0001708668],"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":[0.000009700158,0.00003568938,0.00003261125,0.00002898517,0.000001052489,0.000002329528,0.001060533,0.00006585512,0.990699,0.007313142,0.00005427737,0.0006968227],"study_design_scores_gemma":[0.0003023348,0.000136043,0.0004965288,0.00003641704,0.00001157662,0.00004349227,0.001696521,0.00008857748,0.9948311,0.001160338,0.0009757738,0.00022123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804649,0.00005821386,0.0002731188,0.0001517221,0.001685756,0.0003213788,0.00005685362,0.0001139224,0.01687416],"genre_scores_gemma":[0.993408,0.000005456285,0.006109874,0.0002006298,0.00003081253,0.00003859484,0.000002877432,0.00001999017,0.0001838232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669034,"threshold_uncertainty_score":0.9889273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02993436379165434,"score_gpt":0.2627221585435223,"score_spread":0.2327877947518679,"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."}}