{"id":"W2785642864","doi":"10.1155/2018/9638430","title":"Parametric Studies of Flat Plate Trajectories Using VIC and Penalization","year":2018,"lang":"en","type":"article","venue":"Modelling and Simulation in Engineering","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Université de Bordeaux; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Compute Canada","keywords":"Froude number; Mechanics; Dimensionless quantity; Laminar flow; Reynolds number; Position (finance); Acceleration; Inertia; Curvature; Mathematics; Flow (mathematics); Physics; Geometry; Classical mechanics; Turbulence","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":[0.00012391,0.000104394,0.000173986,0.0003447367,0.00004118148,0.00001464657,0.00002615233,0.00006910192,3.648923e-7],"category_scores_gemma":[0.00006165182,0.0001071913,0.0000108662,0.0003329663,0.00003828196,0.0001062324,0.00001487716,0.00007289382,1.748401e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002703013,"about_ca_system_score_gemma":0.000002481214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000149624,"about_ca_topic_score_gemma":0.000001797828,"domain_scores_codex":[0.9994957,0.000004979498,0.0002068794,0.0001048232,0.0000663379,0.0001212441],"domain_scores_gemma":[0.999706,0.0001378684,0.00002318299,0.00007295963,0.00004535886,0.00001460101],"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":[0.000003136318,0.000001279047,0.001538739,0.0001552102,0.0000136834,3.929692e-7,0.00114776,0.9956702,0.0005710066,0.0001174962,2.915581e-7,0.0007808181],"study_design_scores_gemma":[0.0001373996,0.00001916909,0.0002227859,0.000161723,0.00001002417,0.000001381075,0.0001216765,0.9910283,0.007777828,0.0004052382,0.00000645999,0.0001080141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5388548,0.0005166565,0.4603953,0.000001027958,0.00007072777,0.00002915358,3.910417e-7,0.0001257488,0.000006121741],"genre_scores_gemma":[0.9891639,0.0002548264,0.01052789,0.000001045054,0.0000307973,0.00000151527,8.345233e-7,0.00001701768,0.000002112334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4503091,"threshold_uncertainty_score":0.4371134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05114260402050542,"score_gpt":0.2771948957080502,"score_spread":0.2260522916875448,"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."}}