{"id":"W2755558354","doi":"10.1016/j.ijthermalsci.2018.04.022","title":"An inverse problem to assess the two-component unsteady wall shear rate","year":2018,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Mechanics; Turbulence; Inverse; Amplitude; Shear (geology); Mass transfer; Direct numerical simulation; Inverse problem; Range (aeronautics); Volumetric flow rate; Physics; Mathematics; Materials science; Mathematical analysis; Geometry; Optics; Reynolds number","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":[0.0009010689,0.000792516,0.000757613,0.0008120852,0.0004022486,0.001400383,0.0007424686,0.001965249,0.002162419],"category_scores_gemma":[0.003707436,0.0004213411,0.0006990717,0.0004195313,0.0009851139,0.001367155,0.001124803,0.001467186,0.0004518063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003324987,"about_ca_system_score_gemma":0.001656151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00239894,"about_ca_topic_score_gemma":0.001466518,"domain_scores_codex":[0.9996229,0.00006744179,0.00002062087,0.00008648275,0.0001733231,0.00002927556],"domain_scores_gemma":[0.9994184,0.0003129054,0.00004675529,0.00005585564,0.0001345026,0.00003171436],"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":[0.0002256189,0.0003745618,0.003647798,0.0003703068,0.0000871082,0.0004339485,0.0003814998,0.7221946,0.08744624,0.04249896,0.001935499,0.140404],"study_design_scores_gemma":[0.000008027017,0.00003667104,0.0004989624,0.000006735385,0.00000897182,0.00006778504,0.00003189745,0.9894615,0.006368205,0.002631362,0.0008633387,0.00001657285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02624686,0.0000606483,0.971415,0.0001392226,0.00005267985,0.00005274358,0.000068608,0.0001840913,0.00178018],"genre_scores_gemma":[0.5356891,0.0003552013,0.4496412,0.0001494251,0.0001003907,0.0003209089,0.0003677436,0.000247616,0.01312852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00239894,"threshold_uncertainty_score":0.007234037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04934019382122425,"score_gpt":0.3034307750058415,"score_spread":0.2540905811846173,"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."}}