{"id":"W1973312059","doi":"10.1177/0021998312474044","title":"A structural modelling framework for prediction of damage development and failure of composite laminates","year":2013,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Composite laminates; Structural engineering; Spurious relationship; Constitutive equation; Damage tolerance; Damage mechanics; Composite number; Composite material; Computer science; Finite element method; 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":[0.0002421404,0.0001812945,0.0005878021,0.0001527262,0.00004228629,0.00006861603,0.0001970321,0.0001238822,0.00004901142],"category_scores_gemma":[0.00001286518,0.0001551883,0.00007325569,0.00006863324,0.00003678424,0.0002669946,0.00004581035,0.0001181594,0.000001038614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003015393,"about_ca_system_score_gemma":0.00001303129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000350791,"about_ca_topic_score_gemma":1.893227e-7,"domain_scores_codex":[0.9984213,0.00004133306,0.001034874,0.00009230974,0.0002371614,0.0001730919],"domain_scores_gemma":[0.9988887,0.0001780179,0.000428452,0.000127684,0.0002870678,0.00009004277],"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":[0.00006670659,0.00001903433,0.0004844988,0.0003571066,0.00009450849,0.000001209925,0.0003239174,0.01206072,0.9855852,0.0005720946,0.00002543031,0.0004096283],"study_design_scores_gemma":[0.0004744471,0.0001686003,0.008457001,0.0005667076,0.00008463724,0.00002447191,0.00003123494,0.01258276,0.9748523,0.00259216,0.0000385449,0.0001271652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301844,0.0002317963,0.06885902,0.00002971176,0.0003338851,0.0002713267,0.00005923602,0.00002407469,0.000006522905],"genre_scores_gemma":[0.7860499,0.00001872375,0.2138164,0.000004217003,0.00006813423,0.000006632312,0.00001055906,0.00002320086,0.000002198811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1449574,"threshold_uncertainty_score":0.6328396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804833173844665,"score_gpt":0.2277497094956195,"score_spread":0.2097013777571728,"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."}}