{"id":"W2792318201","doi":"10.1590/2318-0331.0318170141","title":"Hydrodynamics of a tropical estuary: Buranhém River, Porto Seguro, Brazil","year":2018,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Universidade Federal de Itajubá; Universidade de São Paulo; Universidade Estadual de Santa Cruz; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Estuary; Stratification (seeds); Oceanography; Tidal range; Estuarine water circulation; Salinity; Water column; Hydrology (agriculture); Geology; Dominance (genetics); Environmental science; Spring (device); Turbulence; Geography; Meteorology","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":["insufficient_payload"],"category_scores_codex":[0.0003493312,0.0003712584,0.0006021531,0.0001001564,0.0001709743,0.00006702265,0.0006705591,0.000212232,0.001183747],"category_scores_gemma":[0.000183674,0.0003527759,0.0002466063,0.0007225071,0.0005535955,0.0002595182,0.0004270879,0.0002725844,0.0008414525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000494725,"about_ca_system_score_gemma":0.00006149289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000516978,"about_ca_topic_score_gemma":0.0005957995,"domain_scores_codex":[0.9971946,0.0001761138,0.0006966561,0.0006530674,0.0005819126,0.0006976099],"domain_scores_gemma":[0.9982958,0.0001293004,0.0003564838,0.0008345651,0.00004229478,0.0003415718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001099419,0.0003089209,0.9818425,0.0001451556,0.00005329423,0.00005626565,0.0005241566,0.000138232,0.003286982,0.001804161,0.002558636,0.009171772],"study_design_scores_gemma":[0.0008737959,0.0006649466,0.9238604,0.000209405,0.000111838,0.0002424587,0.0000877403,0.0615616,0.0002464588,0.00025609,0.01118874,0.0006965274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816723,0.00008721767,0.006539914,0.00005718593,0.0001852043,0.0005580421,0.00006112194,0.000119216,0.01071978],"genre_scores_gemma":[0.99625,0.00005215683,0.002633482,0.000143445,0.0001744929,0.0000164831,0.00002925005,0.00006177554,0.0006389507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06142337,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007490670768607176,"score_gpt":0.2393851066570942,"score_spread":0.231894435888487,"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."}}