{"id":"W4281786216","doi":"10.1115/1.4054656","title":"Impact of Manufacturing Flaw on Fatigue Damage Development and on Stiffness Variation in Woven Composite Plates","year":2022,"lang":"en","type":"article","venue":"Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Acoustic emission; Stiffness; Materials science; Context (archaeology); Finite element method; Digital image correlation; Nondestructive testing; Structural engineering; Carbon fiber reinforced polymer; Composite number; Composite material; Degradation (telecommunications); Manufacturing process; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008722151,0.0001623783,0.0003156904,0.000390215,0.00004532039,0.00003081763,0.00007976229,0.00004984955,0.000004120107],"category_scores_gemma":[0.0005014524,0.0001556026,0.00003643655,0.0001364103,0.00001628918,0.00009530662,0.00002536081,0.0002621529,7.569362e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366002,"about_ca_system_score_gemma":0.00006833063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001000579,"about_ca_topic_score_gemma":4.506173e-7,"domain_scores_codex":[0.9985472,0.00006216561,0.0006399386,0.000107372,0.000516908,0.0001264084],"domain_scores_gemma":[0.9982865,0.001004243,0.0003506634,0.00007825239,0.0002238159,0.00005646246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004051386,0.00006605249,0.00512167,0.0002112897,0.0001284379,0.000006015614,0.0006807063,0.9865771,0.004763987,0.0003563474,0.0000044759,0.002043413],"study_design_scores_gemma":[0.0008764956,0.0004712094,0.5202969,0.000537461,0.00006922481,0.00002768303,0.0001094459,0.4737148,0.00359268,0.0001514861,0.000005687652,0.0001468895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942437,0.0004834908,0.004433743,0.000004304183,0.0004017872,0.0003561302,0.00004718447,0.000007962424,0.0000217095],"genre_scores_gemma":[0.9983702,0.0000842414,0.001442862,9.241109e-7,0.00004561701,0.00001955043,0.00001383393,0.00002223392,5.025943e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5151753,"threshold_uncertainty_score":0.6345289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942796773338712,"score_gpt":0.2549279737546444,"score_spread":0.2355000060212573,"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."}}