{"id":"W4413391857","doi":"10.1115/omae2025-157713","title":"The Development of Physical Informed Neural Networks for Fluid Flow in Infinite Parallel Plates As Compared to CFD and AI Models","year":2025,"lang":"en","type":"article","venue":"","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computational fluid dynamics; Computer science; Fluid dynamics; Artificial neural network; Flow (mathematics); Mechanics; Artificial intelligence; Physics","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":[0.0001009346,0.00009638623,0.0001759062,0.00007637851,0.000051503,0.00003020762,0.00008756124,0.00002593889,0.000001904927],"category_scores_gemma":[0.00001630193,0.00006818973,0.00003851128,0.0002006837,0.00001194996,0.00007757195,0.00003027189,0.00005452612,8.109637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002305113,"about_ca_system_score_gemma":0.00002171627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007503493,"about_ca_topic_score_gemma":0.0005544201,"domain_scores_codex":[0.9994296,0.000005092315,0.0002375323,0.00007482879,0.00008369989,0.0001692594],"domain_scores_gemma":[0.9997181,0.0001249315,0.000009801173,0.00008102367,0.00003400809,0.00003216113],"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":[0.00003265081,0.000008488485,0.0004556329,0.00002650186,0.00006796299,6.389963e-8,0.0006704284,0.9874597,0.0001887558,0.000507199,0.0004742647,0.01010841],"study_design_scores_gemma":[0.0003922752,0.000009780127,0.0008027501,0.00002778152,0.00001201798,3.251965e-8,0.000105049,0.9969812,0.0007295844,0.0003624165,0.0004972147,0.00007991428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8165479,0.0001709718,0.1805329,0.0002302705,0.00006748241,0.0003745018,0.000001392256,0.00006126825,0.002013366],"genre_scores_gemma":[0.9962962,0.000009736012,0.003428752,0.00008859318,0.00001300913,0.00005557904,0.000008196631,0.000005619225,0.00009430385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1797483,"threshold_uncertainty_score":0.2780696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132621027692678,"score_gpt":0.2489751215281426,"score_spread":0.2276489112512158,"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."}}