{"id":"W2065555156","doi":"10.1016/j.compstruct.2013.07.059","title":"Optimization of variable stiffness composites with embedded defects induced by Automated Fiber Placement","year":2013,"lang":"en","type":"article","venue":"Composite Structures","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Stiffness; Materials science; Buckling; Fiber; Structural engineering; Composite material; Work (physics); Composite number; Mechanical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003814645,0.0003517604,0.0004419876,0.0001916107,0.0001218832,0.0001378272,0.0002363133,0.0001345005,0.000914378],"category_scores_gemma":[0.000004973297,0.0002911341,0.00006349183,0.0005716827,0.00004843518,0.0002666017,0.00004900661,0.0001563952,0.000008218678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007267296,"about_ca_system_score_gemma":0.00001801977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009042322,"about_ca_topic_score_gemma":0.000004064129,"domain_scores_codex":[0.9986333,0.00005268921,0.0004181009,0.0002880894,0.0003059477,0.0003018265],"domain_scores_gemma":[0.9990772,0.00006119815,0.000143624,0.000359668,0.0002448162,0.0001134777],"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":[0.00002392348,0.00001536801,0.0001987787,0.00006924336,0.0001774482,4.731126e-7,0.0001137093,0.7397356,0.2578585,0.00006505318,0.001453732,0.0002881035],"study_design_scores_gemma":[0.0008382584,0.00008660406,0.005181105,0.00006035133,0.0001658876,0.000008756491,0.00002771532,0.9145607,0.07848576,0.00008641811,0.00007878387,0.0004196407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370705,0.0002852803,0.05849827,0.0000136067,0.000147718,0.0005802853,0.00003778673,0.0007827404,0.002583808],"genre_scores_gemma":[0.9516155,0.000009546534,0.04768585,0.00003725744,0.00003550616,0.00002571056,0.0004907885,0.00005883066,0.00004099588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1793728,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00354447984417338,"score_gpt":0.1941963848857128,"score_spread":0.1906519050415394,"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."}}