{"id":"W2304214887","doi":"10.1016/j.compstruct.2016.03.028","title":"Validation of a 3D damage model for predicting the response of composite structures under crushing loads","year":2016,"lang":"en","type":"article","venue":"Composite Structures","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Royal Academy of Engineering; Australian Government; Bombardier","keywords":"Composite number; Structural engineering; Breakage; Materials science; Nonlinear system; Deformation (meteorology); Damage mechanics; Composite material; Finite element method; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003579413,0.0003128243,0.0004423831,0.0001651846,0.0001502157,0.0000501305,0.0006322514,0.0001616898,0.00003221375],"category_scores_gemma":[0.00009114118,0.0002002603,0.0001730871,0.0001691161,0.0001587596,0.0002083216,0.0001367912,0.0001834441,7.484039e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006755736,"about_ca_system_score_gemma":0.00003107124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008751735,"about_ca_topic_score_gemma":0.000002233743,"domain_scores_codex":[0.9981735,0.0001474307,0.0006618368,0.0002843229,0.0003952071,0.0003377302],"domain_scores_gemma":[0.9977593,0.001119871,0.0002351214,0.0006340101,0.000162899,0.00008879417],"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":[0.0004420138,0.000009288327,0.0007508143,0.00008022876,0.00007783023,5.160692e-7,0.00048542,0.1374086,0.856548,0.002820527,0.00007007923,0.001306649],"study_design_scores_gemma":[0.0007729408,0.00009061962,0.01760277,0.0001382625,0.0001295309,0.000006917089,0.00002218849,0.1185904,0.8505842,0.01180344,0.00001653787,0.0002421696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197109,0.0002095824,0.1789308,0.00009404686,0.0002296619,0.000431333,0.0001942545,0.0001514093,0.00004796121],"genre_scores_gemma":[0.97509,0.000008266517,0.02466661,0.00003250763,0.00007345069,0.00002099326,0.00002054065,0.00006528218,0.00002229677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1553792,"threshold_uncertainty_score":0.8166377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256652757172243,"score_gpt":0.2674079390009199,"score_spread":0.2448414114291974,"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."}}