{"id":"W4231650651","doi":"10.17771/pucrio.acad.34613","title":"UMA METODOLOGIA BASEADA EM OTIMIZAÇÃO QUADRÁTICA PARA GERAÇÃO DE MALHAS GEOMECÂNICAS DE RESERVATÓRIOS","year":2018,"lang":"pt","type":"dissertation","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Polygon mesh; Computer science; Regular polygon; Volume mesh; Mathematical optimization; Process (computing); Interpretation (philosophy); Quadratic equation; Mesh generation; Geology; Algorithm; Mathematics; Finite element method; Engineering; Geometry; Computer graphics (images)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001947442,0.001660811,0.001549673,0.001049629,0.001188115,0.002777789,0.002696518,0.00170316,0.0095816],"category_scores_gemma":[0.00616476,0.0009133723,0.001719323,0.001507267,0.001161885,0.002635299,0.002002808,0.002297645,0.001767491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001822321,"about_ca_system_score_gemma":0.002833863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229161,"about_ca_topic_score_gemma":0.01096885,"domain_scores_codex":[0.9983485,0.0004435851,0.0001067562,0.0004386303,0.0004803517,0.0001822677],"domain_scores_gemma":[0.9978835,0.0009295411,0.0001754991,0.0002541413,0.000670111,0.00008730395],"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":[0.0003563236,0.0001417516,0.002405915,0.001193785,0.0001507436,0.0002885007,0.0004934507,0.6984684,0.01886979,0.06237784,0.008477093,0.2067764],"study_design_scores_gemma":[0.00002327871,0.000162584,0.0006303989,0.00005488836,0.00004423723,0.0001677309,0.0001457944,0.9637381,0.004424888,0.01863122,0.01193622,0.00004057811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007623599,0.0005005462,0.9851239,0.000356242,0.000114277,0.00007657371,0.0001833044,0.0003322549,0.00568929],"genre_scores_gemma":[0.4104506,0.00194299,0.5584008,0.0004458386,0.0002381058,0.0004556297,0.000973602,0.0006024148,0.02649017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01229161,"threshold_uncertainty_score":0.03205365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07288871661943273,"score_gpt":0.3430118199027804,"score_spread":0.2701231032833477,"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."}}