{"id":"W2600723074","doi":"10.1016/j.compositesb.2017.03.018","title":"Mesoscale modelling of tensile response and damage evolution in natural fibre reinforced laminates","year":2017,"lang":"en","type":"article","venue":"Composites Part B Engineering","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epoxy; Materials science; Composite material; Stiffness; Mesoscale meteorology; Ultimate tensile strength; Composite laminates; Damage mechanics; Nonlinear system; Structural engineering; Finite element method; Composite number; Geology","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":[0.0001813441,0.0004379734,0.0004572876,0.0003104512,0.0004811537,0.000910521,0.0008032711,0.001288526,0.001930167],"category_scores_gemma":[0.0007931518,0.0004723145,0.0004648257,0.0002791681,0.0008592006,0.0007112409,0.000505745,0.0007202979,0.0001945991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074506,"about_ca_system_score_gemma":0.0005636931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340996,"about_ca_topic_score_gemma":0.009613397,"domain_scores_codex":[0.9999129,0.00001765831,0.000004927533,0.00001921563,0.00001900368,0.00002645879],"domain_scores_gemma":[0.9996841,0.000139388,0.00005183869,0.00003467212,0.0000429274,0.00004716654],"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":[0.00002784615,0.00005771232,0.001091203,0.00001299438,0.00001219481,0.00006391316,0.00002148194,0.9943385,0.002933101,0.0006070199,0.00008407366,0.0007500443],"study_design_scores_gemma":[0.000003764401,0.000008312435,0.0007483372,0.000001350822,0.000001641132,0.000004339771,0.000009509862,0.998858,0.0001857917,0.0001380278,0.00003779334,0.000003198668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829468,0.0001998531,0.008897149,0.0002264265,0.00004285184,0.00001819972,0.0001206895,0.0001522538,0.007395647],"genre_scores_gemma":[0.9976857,0.00006112937,0.001019925,0.00001720309,0.000009309491,0.00001229521,0.00003640099,0.00002532552,0.001132739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01340996,"threshold_uncertainty_score":0.02666384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207210803827255,"score_gpt":0.2221569577990121,"score_spread":0.2100848497607395,"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."}}