{"id":"W4238717375","doi":"10.32920/ryerson.14664078.v1","title":"Fatigue damage modeling based on cracking progress in unidirectional and cross-ply FRP composites","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Composite material; Materials science; Fibre-reinforced plastic; Stiffness; Composite number; Stress (linguistics); Matrix (chemical analysis); Fiber; Cracking; Fiber-reinforced composite; Structural 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":[0.0001413763,0.0004433237,0.0001530274,0.000416665,0.0001191636,0.0001883368,0.0003704969,0.0005253477,0.0008254487],"category_scores_gemma":[0.0002760674,0.0002507068,0.0004521598,0.0001394429,0.0001876646,0.0003833384,0.000188422,0.0002192522,0.0002474918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404023,"about_ca_system_score_gemma":0.0001984756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005411502,"about_ca_topic_score_gemma":0.00461526,"domain_scores_codex":[0.9999176,0.00001029711,0.000005677936,0.00002142463,0.00003200991,0.00001285092],"domain_scores_gemma":[0.9998707,0.00003146994,0.00003976129,0.00001541171,0.00003703683,0.000005583114],"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":[0.00008998359,0.00005992782,0.003988098,0.00006451993,0.00001803539,0.0002306743,0.0001521747,0.7828178,0.1933152,0.0007704897,0.0001402745,0.01835277],"study_design_scores_gemma":[0.000001989992,0.00005247666,0.002260799,0.000003123599,0.000004324171,0.00005674188,0.000009412316,0.9859534,0.01137618,0.00007538436,0.0002013574,0.000004798157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8118017,0.000283292,0.1840357,0.0000414532,0.00001059049,0.00004307631,0.0001535351,0.000343342,0.003287271],"genre_scores_gemma":[0.9819327,0.0001691888,0.01548988,0.00000664506,0.000003027783,0.00003755968,0.00009319182,0.00002410463,0.002243665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005411502,"threshold_uncertainty_score":0.01076001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545924865020693,"score_gpt":0.2991168915765501,"score_spread":0.2636576429263432,"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."}}