{"id":"W4404733109","doi":"10.1177/00219983241289496","title":"Fatigue life prediction of hybrid carbon-flax-epoxy laminates using progressive failure analysis and cohesive zone model","year":2024,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Epoxy; Composite material; Carbon fibers; Composite laminates; Fatigue testing; Structural engineering; Composite number","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":[0.0002727336,0.0004952748,0.0002367659,0.0006035877,0.0001619482,0.0001655852,0.0003776041,0.0006624635,0.0009111059],"category_scores_gemma":[0.0003444438,0.0002626913,0.0004293293,0.0001848402,0.0001285048,0.0002494451,0.000152314,0.0001794446,0.0002050472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003068633,"about_ca_system_score_gemma":0.0002172977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004047285,"about_ca_topic_score_gemma":0.005231871,"domain_scores_codex":[0.9999238,0.000009053181,0.000006750563,0.00001565482,0.00003104592,0.00001362246],"domain_scores_gemma":[0.9997897,0.00008707828,0.00003549532,0.00001522552,0.0000624254,0.00001007972],"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":[0.0001247406,0.00006571854,0.004693191,0.0001012717,0.00001772722,0.0001709164,0.00009392098,0.8409475,0.1370131,0.0003645666,0.0001682006,0.01623911],"study_design_scores_gemma":[0.00000286107,0.00006963788,0.002280327,0.000003965382,0.000004689244,0.00001895713,0.00000687692,0.9866412,0.01079308,0.00004365889,0.0001283439,0.000006543916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367912,0.0002243375,0.06049899,0.00001860584,0.000006974062,0.00003178019,0.0002625209,0.0003689302,0.001796774],"genre_scores_gemma":[0.9891515,0.00006781857,0.01002753,0.000002816639,0.000001104539,0.00003983811,0.0001126539,0.00001709556,0.0005796754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004047285,"threshold_uncertainty_score":0.008047462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821230671919552,"score_gpt":0.2514281764346978,"score_spread":0.2332158697155023,"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."}}