{"id":"W2038919779","doi":"10.1106/pyix-4v9p-re9l-ldne","title":"Three Dimensional Micro-Mechanical Modeling of Woven Fabric Composites","year":2001,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Woven fabric; Yarn; Discretization; Composite material; Materials science; Stiffness; Plain weave; Macro; Computer science; Mathematics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001698332,0.0003893299,0.0004698262,0.000394747,0.0003384087,0.0007011059,0.0008612478,0.0009094757,0.001663102],"category_scores_gemma":[0.0002529933,0.0003455921,0.0006235149,0.0003480867,0.0004908773,0.0004197255,0.0004229028,0.0004858783,0.0003483855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003941903,"about_ca_system_score_gemma":0.0006200062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003099626,"about_ca_topic_score_gemma":0.002199311,"domain_scores_codex":[0.999878,0.00001860695,0.000006573874,0.0000219448,0.00006011824,0.00001478233],"domain_scores_gemma":[0.999917,0.00002418073,0.00001783628,0.0000133713,0.00001898348,0.000008603868],"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":[0.0000138002,0.00002573697,0.0002844507,0.00004041405,0.000009775025,0.0001187161,0.00004593193,0.958902,0.01601179,0.02001564,0.0001452403,0.004386601],"study_design_scores_gemma":[0.000001449747,0.000006065517,0.0001696482,0.000001993872,0.000001592262,0.00002191843,0.000005808034,0.9970301,0.0008670789,0.001416944,0.0004725522,0.000004816191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08461601,0.0003764842,0.8972508,0.0001936777,0.00005292835,0.00006139163,0.0003141245,0.0003688166,0.01676564],"genre_scores_gemma":[0.8655604,0.0008564701,0.1196693,0.00006916279,0.00003028503,0.0002966276,0.0002511884,0.00009179976,0.01317477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003099626,"threshold_uncertainty_score":0.00616318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03495363200526518,"score_gpt":0.2798080983376831,"score_spread":0.2448544663324179,"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."}}