{"id":"W4410475271","doi":"10.1007/s00170-025-15737-y","title":"Hybrid numerical modelling of solid and fluid mechanics in a supersonic-fluidic-oscillator-driven superplastic forming process","year":2025,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Supersonic speed; Fluidics; Superplasticity; Mechanical engineering; Process (computing); Materials science; Mechanics; Engineering; Aerospace engineering; Physics; Computer science; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003565983,0.0004809829,0.0008975151,0.0003678561,0.0005898805,0.001336025,0.001253352,0.002290559,0.00179139],"category_scores_gemma":[0.001041437,0.0004850129,0.0007311414,0.0004079896,0.001546048,0.0008782407,0.0009840165,0.0007339403,0.0001913424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008403203,"about_ca_system_score_gemma":0.001369644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175399,"about_ca_topic_score_gemma":0.006195881,"domain_scores_codex":[0.999797,0.00005421771,0.00001024623,0.00003615993,0.00006518409,0.000037096],"domain_scores_gemma":[0.9995653,0.0002402692,0.0000684773,0.00002568819,0.00005748796,0.00004281094],"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":[0.00003342706,0.00003545464,0.0002673495,0.00001411401,0.000007949159,0.00005208353,0.00002838549,0.9931379,0.002348379,0.003134775,0.00003934484,0.0009007811],"study_design_scores_gemma":[0.000005153227,0.000006965875,0.00005675769,6.947972e-7,0.000001240526,0.000003267874,0.000003125453,0.9995211,0.0001752416,0.000181357,0.0000426701,0.000002399133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6403005,0.0004707263,0.3299516,0.0005829448,0.0001828175,0.0001290672,0.0001672533,0.0003251887,0.02788998],"genre_scores_gemma":[0.9848561,0.0001056763,0.0105666,0.00004354226,0.00001714098,0.00005429531,0.00005359319,0.00003827869,0.00426477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01175399,"threshold_uncertainty_score":0.0233711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006925734637373322,"score_gpt":0.2325664812255084,"score_spread":0.2256407465881351,"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."}}