{"id":"W4280641035","doi":"10.1080/15440478.2022.2073314","title":"Strain and Damage Assessment of Treated and Untreated Luffa Mat Composite Using Acoustic Emission and Digital Image Correlation","year":2022,"lang":"en","type":"article","venue":"Journal of Natural Fibers","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Digital image correlation; Extensometer; Composite material; Materials science; Ultimate tensile strength; Composite number; Acoustic emission; Delamination (geology); Strain (injury); Tensile testing; Modulus; Young's modulus","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002060877,0.0001573828,0.0003010159,0.0001891518,0.0002077014,0.0001666327,0.0001082472,0.00004737118,0.00002888512],"category_scores_gemma":[0.00003501477,0.0001234507,0.00004541115,0.0001804973,0.0001176506,0.0007701298,0.0001741526,0.0003431235,1.453601e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297384,"about_ca_system_score_gemma":0.00004124289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000179956,"about_ca_topic_score_gemma":3.924016e-7,"domain_scores_codex":[0.9988,0.00008604499,0.0004262819,0.0001554873,0.0003709028,0.0001612361],"domain_scores_gemma":[0.999002,0.0001887322,0.0005019051,0.00008031853,0.0001156104,0.0001114546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001578755,0.00001466426,0.002250065,0.00004584116,0.00002555154,0.00006004043,0.0001792333,0.001411444,0.9951702,0.00001188811,0.00003242606,0.0006407422],"study_design_scores_gemma":[0.008972663,0.002657286,0.1606769,0.0008810233,0.0008608674,0.007071632,0.001799513,0.3094684,0.5055665,0.0007945261,0.00009575515,0.001154889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986503,0.0006610407,0.0001427786,0.00009954208,0.0001865314,0.0001423658,0.00006440158,0.00001352175,0.00003950535],"genre_scores_gemma":[0.9960161,0.00002517735,0.003792524,0.00002023781,0.00002174241,4.15094e-7,0.00001962285,0.00001195799,0.00009219944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4896037,"threshold_uncertainty_score":0.5034175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008264833079419514,"score_gpt":0.2638126435204864,"score_spread":0.2555478104410669,"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."}}