{"id":"W2807237239","doi":"10.15866/ireme.v12i2.13995","title":"Particle-Based Modelling of In-Plane Shear in Textiles","year":2018,"lang":"en","type":"article","venue":"International Review of Mechanical Engineering (IREME)","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Shear (geology); Materials science; Mechanics; Displacement (psychology); Displacement field; Structural engineering; Composite material; Engineering; Physics; Finite element method","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":[0.001072517,0.00009439307,0.0002894441,0.00008159856,0.000007810257,0.000009524624,0.0002676507,0.00004002333,0.001194699],"category_scores_gemma":[0.0004602111,0.00008689875,0.00005243137,0.0001524441,0.00002528279,0.00008660286,0.00004474403,0.00005717882,0.00004899716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004934768,"about_ca_system_score_gemma":0.00004359617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000989736,"about_ca_topic_score_gemma":0.00001433009,"domain_scores_codex":[0.9985923,0.00004200247,0.0006957859,0.0001667722,0.0003553601,0.0001477387],"domain_scores_gemma":[0.999393,0.0001236718,0.0001304188,0.0001646881,0.0001513586,0.00003680451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004602265,0.00017591,0.00006472712,0.001803018,0.000008838653,0.000004210727,0.00006178596,0.1019772,0.8776122,0.01685872,0.00004258911,0.00134486],"study_design_scores_gemma":[0.0004861239,0.00008560088,0.0006260105,0.00841538,0.00001446229,0.000002721701,0.000005266516,0.607343,0.3814907,0.0004733973,0.0009103933,0.0001470094],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412736,0.001634893,0.05519126,0.0005798148,0.0007882349,0.000284405,0.00004082943,0.00003399352,0.000172967],"genre_scores_gemma":[0.9932218,0.0005140946,0.006057282,0.00009092141,0.00006882062,0.00002181084,0.000007445653,0.00001053283,0.000007272061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5053658,"threshold_uncertainty_score":0.9997184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310653581745264,"score_gpt":0.2969367892051785,"score_spread":0.2538302533877259,"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."}}