{"id":"W3105374814","doi":"10.1016/j.compscitech.2020.108560","title":"An integrated computational materials engineering framework to analyze the failure behaviors of carbon fiber reinforced polymer composites for lightweight vehicle applications","year":2020,"lang":"en","type":"article","venue":"Composites Science and Technology","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institute of General Medical Sciences; U.S. Department of Energy","keywords":"Materials science; Composite material; Representative elementary volume; Sheet moulding compound; Bending; Plain weave; Carbon fiber reinforced polymer; Finite element method; Computational model; Scale (ratio); Fibre-reinforced plastic; Fiber; Structural engineering; Composite number; Computer science; Microstructure; Yarn","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":[0.0004512409,0.0007660416,0.0007512275,0.0008377591,0.0008218729,0.0009860566,0.001606893,0.00139947,0.002967059],"category_scores_gemma":[0.00147301,0.0005687624,0.00102035,0.0004928612,0.000733417,0.0007596221,0.001116927,0.001184339,0.0003842276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007510122,"about_ca_system_score_gemma":0.001913721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01636926,"about_ca_topic_score_gemma":0.01878159,"domain_scores_codex":[0.9998555,0.00002875217,0.000006302776,0.00001692555,0.00006384042,0.00002858668],"domain_scores_gemma":[0.9995767,0.0002282296,0.00003529073,0.00004325132,0.00008439511,0.00003211585],"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":[0.00001275204,0.00007267181,0.000509261,0.00002200816,0.00002373596,0.00003767637,0.00001716152,0.9878919,0.0009462183,0.006912102,0.0002557804,0.003298671],"study_design_scores_gemma":[0.000001962933,0.000002802736,0.00004226434,0.000001142678,0.000001652341,0.000002117701,0.000003162026,0.9990093,0.00008777466,0.0007270431,0.0001197194,0.000001143708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1736584,0.0005283335,0.7969645,0.00073123,0.000185363,0.0002391382,0.0006655608,0.001302451,0.02572503],"genre_scores_gemma":[0.7818511,0.0003157031,0.2086201,0.0002289976,0.00008968051,0.0004855635,0.0005554287,0.0004170935,0.007436422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01636926,"threshold_uncertainty_score":0.03254795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006736458568137928,"score_gpt":0.2331567061231668,"score_spread":0.2264202475550289,"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."}}