{"id":"W4409173781","doi":"10.1002/nme.70014","title":"Deep Material Networks for Fiber Suspensions With Infinite Material Contrast","year":2025,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Composite Material Mechanics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Contrast (vision); Fiber; Materials science; Composite material; Mathematics; Computer science; Artificial intelligence","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":[0.0004602561,0.0002588549,0.0003764734,0.000333848,0.00005802167,0.0002609642,0.0003778712,0.0001318209,0.0001159437],"category_scores_gemma":[0.0002284706,0.0002446194,0.0001173329,0.0001841474,0.00001373222,0.0001594466,0.00006810104,0.000250667,0.000001385749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623215,"about_ca_system_score_gemma":0.00002253783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004250865,"about_ca_topic_score_gemma":0.000002330735,"domain_scores_codex":[0.9986419,0.00004361094,0.0005613771,0.0001930375,0.0001536548,0.0004064155],"domain_scores_gemma":[0.9989568,0.0005757895,0.00006682531,0.0001235574,0.0001821706,0.00009483475],"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":[0.000630955,0.00002736559,0.0000181649,0.00005384533,0.0002420973,0.00001867088,0.00003122904,0.929416,0.04410475,0.002541127,0.0001605822,0.0227552],"study_design_scores_gemma":[0.001359814,0.00009797586,0.0000970657,0.0002382789,0.00004398885,0.0001084503,0.00001202742,0.9471357,0.02622855,0.0008837656,0.02348975,0.0003045675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01088316,0.00005542327,0.9730476,0.000108801,0.0152334,0.0003867284,0.00003815053,0.0001538178,0.00009289996],"genre_scores_gemma":[0.1675065,0.00002803193,0.8307339,0.00007240965,0.001269618,0.0001917191,0.00004209118,0.00009653479,0.00005917527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1566234,"threshold_uncertainty_score":0.9975291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153371281399815,"score_gpt":0.3184690074982332,"score_spread":0.306935294684235,"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."}}