{"id":"W4240678446","doi":"10.17771/pucrio.acad.52771","title":"MODELAGEM NUMÉRICA DE PROBLEMAS GEOTÉCNICOS DE GRANDES DEFORMAÇÕES MEDIANTE O MÉTODO DO PONTO MATERIAL","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Discretization; Material point method; Finite element method; Constitutive equation; Classification of discontinuities; Spurious relationship; Geology; Geotechnical engineering; Pore water pressure; Applied mathematics; Mechanics; Mathematics; Structural engineering; Engineering; Physics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002076599,0.000752938,0.0006788335,0.0003839798,0.0003526917,0.0005491663,0.0004478094,0.0006793176,0.002351702],"category_scores_gemma":[0.00009695483,0.0007674321,0.0003994423,0.0003909993,0.0000344178,0.0007039504,0.00006561239,0.0007189494,0.0003465982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006430919,"about_ca_system_score_gemma":0.0003021024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007236936,"about_ca_topic_score_gemma":0.0006812626,"domain_scores_codex":[0.9971057,0.00008058689,0.001012711,0.0005597671,0.0003583724,0.0008828685],"domain_scores_gemma":[0.9986072,0.0001279524,0.0001871507,0.000439032,0.0002187484,0.0004198699],"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":[0.0003810076,0.0001813107,0.0001683479,0.00130001,0.0006134827,0.00004425373,0.01126845,0.9359469,0.02509461,0.02019607,0.00282825,0.001977352],"study_design_scores_gemma":[0.0006295386,0.0001176068,0.0002063661,0.0003548147,0.0002243167,0.00004272343,0.002374991,0.9899373,0.001975138,0.001208424,0.002113755,0.000815043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3271944,0.0006690357,0.5830913,0.0006142046,0.005742575,0.002352606,0.0008539487,0.001581655,0.07790026],"genre_scores_gemma":[0.9807303,0.000845749,0.007816372,0.00009322289,0.0004226354,0.0002397015,0.002972489,0.0002467376,0.006632781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6535359,"threshold_uncertainty_score":0.9994777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009874902599078954,"score_gpt":0.244958162193055,"score_spread":0.2350832595939761,"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."}}