{"id":"W1596530972","doi":"10.1007/978-3-319-48185-2_23","title":"Effect of Dynamic Strain Aging on the Strain Rate Sensitivity of a Mg-2Zn-2Nd Alloy","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Strain rate; Strain (injury); Materials science; Dynamic strain aging; Flow stress; Sensitivity (control systems); Compression (physics); Deformation (meteorology); Composite material; Alloy; Atmospheric temperature range; Metallurgy; Thermodynamics; Medicine; Internal medicine; Electronic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002633628,0.0002383419,0.0003006983,0.0003070915,0.0001793707,0.0003413886,0.0004694242,0.0003364399,0.001710925],"category_scores_gemma":[0.0008135263,0.0001904422,0.0002011618,0.000320664,0.0002544015,0.0003372039,0.0002264296,0.0002112237,0.0003547747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003538514,"about_ca_system_score_gemma":0.0001510748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537159,"about_ca_topic_score_gemma":0.001756344,"domain_scores_codex":[0.9998295,0.00001534837,0.00001267949,0.00004367327,0.00006786735,0.00003093577],"domain_scores_gemma":[0.9996158,0.0001157912,0.00007872088,0.00005099376,0.0001117939,0.00002687559],"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":[0.0006595126,0.00003289494,0.001471682,0.0000834443,0.00002064962,0.0001825583,0.0001005919,0.001750752,0.9866033,0.0001735318,0.000164631,0.008756375],"study_design_scores_gemma":[0.000008419143,0.000512931,0.01157186,0.00001387722,0.00004001378,0.000187892,0.00005730916,0.005903037,0.979771,0.00007851191,0.00183784,0.00001729566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944583,0.002095447,0.0009383003,0.00007669041,0.00007578538,0.00000799849,0.0002406085,0.00008307424,0.002023714],"genre_scores_gemma":[0.9969229,0.0004030391,0.0003391063,0.00002642429,0.00001288527,0.000002449917,0.0001353719,0.00002733723,0.002130607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001710925,"threshold_uncertainty_score":0.005723596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357011193613076,"score_gpt":0.2573136667255868,"score_spread":0.233743554789456,"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."}}