{"id":"W2794600922","doi":"10.1520/jte20170172","title":"A Simple Approach to Performing Large Strain Cyclic Simple Shear Tests: Methodology and Experimental Results","year":2018,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; University of Waterloo","funders":"","keywords":"Simple shear; Digital image correlation; Pure shear; Direct shear test; Shear (geology); Materials science; Tensile testing; Shear modulus; Structural engineering; Composite material; Ultimate tensile strength; 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":[0.0006225309,0.0005834175,0.0003642633,0.0005383129,0.0003678241,0.0002102294,0.000504871,0.0004564551,0.002065892],"category_scores_gemma":[0.0007370906,0.0002113043,0.0002213782,0.0005321144,0.0004096059,0.0002467598,0.000373203,0.0003248921,0.0003952056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667976,"about_ca_system_score_gemma":0.0004089805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007978628,"about_ca_topic_score_gemma":0.001353364,"domain_scores_codex":[0.9994823,0.00005557155,0.00005479061,0.00009645754,0.0002708952,0.00003989993],"domain_scores_gemma":[0.9993091,0.00008973463,0.0001222237,0.0002049123,0.0002233937,0.00005068338],"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":[0.0000655913,0.000119137,0.0007046059,0.0001060279,0.00000699459,0.00004738659,0.00006415167,0.0009446192,0.9905561,0.0001760429,0.00008686014,0.007122561],"study_design_scores_gemma":[0.0000154043,0.0008114677,0.003588653,0.000005971951,0.000009308449,0.0001144628,0.0000378306,0.004302847,0.9898183,0.00007007518,0.001202075,0.00002348098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8914483,0.0003540836,0.1035068,0.0000769768,0.00006203886,0.0007036367,0.000676623,0.0007125987,0.002458969],"genre_scores_gemma":[0.8542596,0.0002368098,0.143531,0.00002400366,0.00001040275,0.0003731442,0.0003107266,0.00006331183,0.001191007],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002065892,"threshold_uncertainty_score":0.006911099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678835654365462,"score_gpt":0.4041457561863598,"score_spread":0.2362621907498136,"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."}}