{"id":"W2265421161","doi":"10.1557/proc-977-0977-ff13-01","title":"Polymer Assessment for Magnetic Shape Memory Alloy Composites","year":2006,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Materials science; Polymer; Composite material; Fabrication; Work (physics); Composite number; Alloy; Nanotechnology; Mechanical engineering; Engineering","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":[0.000326856,0.0001985484,0.0002061144,0.0001054879,0.0002835148,0.0002345913,0.000324992,0.00007482449,0.001177491],"category_scores_gemma":[0.000013839,0.0001884718,0.00008632509,0.00016962,0.0001015781,0.0005155314,0.00004049695,0.00008460438,0.0001730507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006889004,"about_ca_system_score_gemma":0.00004696845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003914723,"about_ca_topic_score_gemma":0.000007368168,"domain_scores_codex":[0.9985594,0.000006938671,0.0003621789,0.0003294159,0.0003139577,0.0004281525],"domain_scores_gemma":[0.9994875,0.00006492266,0.00009756366,0.0001007786,0.0001712277,0.00007803012],"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":[0.00001933047,0.00009290225,0.0007658532,0.00009631123,0.000003431091,6.89762e-7,0.0001876287,0.00002083956,0.9861901,0.005654613,0.006557774,0.0004105723],"study_design_scores_gemma":[0.001187246,0.0002850539,0.00864548,0.00005396662,0.00007925322,0.00002866034,0.0003324882,0.01041416,0.970632,0.001075798,0.006798239,0.0004677184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750975,0.0001921018,0.0004244876,0.001234348,0.0002784937,0.0006624819,0.00003747865,0.0002977649,0.02177535],"genre_scores_gemma":[0.9790155,0.000002980714,0.0178553,0.0004229593,0.0002432206,0.0002886328,0.00002605795,0.00003732916,0.002107996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01966735,"threshold_uncertainty_score":0.9997356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147967465122077,"score_gpt":0.2523533058540534,"score_spread":0.2408736312028326,"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."}}