{"id":"W1972762399","doi":"10.1115/imece2002-32312","title":"Mechanical Modeling of Fabrics in Bending","year":2002,"lang":"en","type":"article","venue":"","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Slipping; Coulomb friction; Bending; Nonlinear system; Hysteresis; Jamming; Materials science; Compression (physics); Coulomb; Mechanics; Inertial frame of reference; Structural engineering; Composite material; Classical mechanics; Physics; Engineering; Condensed matter physics","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":[0.0001833989,0.0005097431,0.0003948388,0.0004083402,0.0003106786,0.0005613048,0.00075636,0.0008690101,0.001906961],"category_scores_gemma":[0.0003401893,0.0002990385,0.0005849899,0.0002761734,0.0004537347,0.0004328408,0.0003608984,0.0003425027,0.0004851482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404987,"about_ca_system_score_gemma":0.0003081512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002624939,"about_ca_topic_score_gemma":0.001465178,"domain_scores_codex":[0.9998944,0.00002528305,0.000006327069,0.00002189973,0.00003272184,0.00001927331],"domain_scores_gemma":[0.9999104,0.00002607588,0.00001680366,0.00001671901,0.00001816628,0.00001193028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003090881,0.00002033813,0.0005620852,0.00003779392,0.00001270429,0.0001512762,0.000051439,0.9742419,0.01502531,0.005716721,0.0001233507,0.00402628],"study_design_scores_gemma":[0.000003519644,0.00002399158,0.000500994,0.000005222972,0.000003530065,0.00006361019,0.00001193188,0.9968171,0.0006078598,0.001344508,0.0006111886,0.000006494646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4030184,0.001319653,0.5592235,0.000387639,0.0000908065,0.000107307,0.0004003027,0.0005185852,0.0349337],"genre_scores_gemma":[0.9692737,0.0007495914,0.018026,0.00004606616,0.00002525431,0.0001119321,0.0001532525,0.00007610934,0.01153807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002624939,"threshold_uncertainty_score":0.006379426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09793098487896133,"score_gpt":0.2887313121063335,"score_spread":0.1908003272273722,"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."}}