{"id":"W4406740385","doi":"10.1016/j.jfluidstructs.2024.104260","title":"A model for the axial-bending-torsional dynamics of pipes conveying fluid","year":2025,"lang":"en","type":"article","venue":"Journal of Fluids and Structures","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; Fundação de Amparo à Pesquisa do Estado de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministère des relations internationales et de la Francophonie","keywords":"Bending; Dynamics (music); Structural engineering; Mechanics; Computational fluid dynamics; Materials science; Engineering; Physics; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001300402,0.00007521689,0.0001823481,0.0001171681,0.00007793809,0.00002907826,0.0001012264,0.00003373317,0.00001546692],"category_scores_gemma":[0.00003998977,0.00004699104,0.0001176204,0.00008334876,0.00003914459,0.00006884172,0.00001302751,0.00008772789,2.900064e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002435103,"about_ca_system_score_gemma":0.00003384266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002618701,"about_ca_topic_score_gemma":0.0000152725,"domain_scores_codex":[0.9994746,0.000007675204,0.0002925913,0.00004431947,0.0001066119,0.0000741497],"domain_scores_gemma":[0.9996535,0.0001085104,0.00005976089,0.00006212373,0.0000887373,0.00002734626],"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":[0.00009130763,0.000009089125,0.001240802,0.000171034,0.0005858558,0.000001931637,0.0004495814,0.8127119,0.01239761,0.1576938,0.00326932,0.01137775],"study_design_scores_gemma":[0.0002705834,0.00001687358,0.001088005,0.00002171066,0.0001012049,0.0000113571,0.0001884808,0.9803265,0.0002816836,0.01755562,0.00009371566,0.00004428787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1336785,0.001337247,0.8640935,0.0003193106,0.0002620954,0.00004792979,0.00002283577,0.000007485,0.0002310168],"genre_scores_gemma":[0.9941301,0.0002492565,0.005397237,0.00005718251,0.00005151091,8.572378e-7,0.000002545008,0.000005516305,0.0001057554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8604516,"threshold_uncertainty_score":0.1916239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008532420496821699,"score_gpt":0.2375916300655838,"score_spread":0.2290592095687621,"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."}}