{"id":"W4304893294","doi":"10.1139/tcsme-2022-0042","title":"Effect of loading rate and height–diameter ratio on compression characteristics of aviation alloys","year":2022,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Compressive strength; Alloy; Titanium alloy; Composite material; Strain rate; Aluminium; Titanium; Compression (physics); Correlation coefficient; Metallurgy; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004960489,0.00009344638,0.0002246951,0.00003829187,0.0001966026,0.00001108502,0.0001406734,0.00005588637,0.0001400738],"category_scores_gemma":[0.00003373553,0.00007789271,0.0001847475,0.00009577976,0.00002896469,0.00005532657,0.0000111473,0.0001013596,3.322602e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264769,"about_ca_system_score_gemma":0.00005965727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244711,"about_ca_topic_score_gemma":0.0001924601,"domain_scores_codex":[0.99933,0.00004798269,0.0002346851,0.0001034105,0.0001316039,0.0001523093],"domain_scores_gemma":[0.9994798,0.0001633628,0.0001019435,0.0001426335,0.00003038823,0.00008185971],"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":[0.0000394527,0.00001214157,0.000004045158,0.0001491932,0.00001568503,7.401015e-8,0.0002228686,0.00313171,0.9957093,0.0004484108,0.00001509605,0.0002520067],"study_design_scores_gemma":[0.0003810397,0.0003411079,0.0001763082,0.00004828714,0.00008987825,0.000001396813,0.00001994244,0.008753048,0.9899644,0.00001110744,0.0001316882,0.00008175978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757648,0.000006985235,0.02266017,0.00009074799,0.0005418643,0.0003567549,0.0005626097,0.0000140473,0.000002020254],"genre_scores_gemma":[0.9989117,0.000002835733,0.0009626937,0.00002015177,0.00001408835,0.00004255709,0.00000771649,0.00001427948,0.00002401293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02314687,"threshold_uncertainty_score":0.3176372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009630414420378909,"score_gpt":0.2242637084599263,"score_spread":0.2146332940395474,"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."}}