{"id":"W2193618338","doi":"10.32360/acmar.v44i2.164","title":"AVALIAÇÃO DAS CONCENTRAÇÕES DE METAIS PESADOS EM SEDIMENTOS DO ESTUÁRIO DO RIO TIMBÓ, PERNAMBUCO-BRASIL","year":2011,"lang":"pt","type":"article","venue":"Arquivos de Ciências do Mar","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estuary; Environmental chemistry; Environmental science; Hydrology (agriculture); Sediment; Manganese; Wastewater; Effluent; Pollution; Chemistry; Environmental engineering; Geology; Ecology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.002567212,0.000995904,0.0008905403,0.0001771677,0.0007371097,0.0005714767,0.001600367,0.000600749,0.0454187],"category_scores_gemma":[0.0001475243,0.0009999598,0.0005680038,0.0005724016,0.0007287908,0.0008500724,0.0008485006,0.0009179526,0.008071485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002015222,"about_ca_system_score_gemma":0.0003545259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003947073,"about_ca_topic_score_gemma":0.0007055324,"domain_scores_codex":[0.9921841,0.001315863,0.001230183,0.001482714,0.001489345,0.002297815],"domain_scores_gemma":[0.9963457,0.0002049325,0.0006405362,0.001464363,0.00006274712,0.001281736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006271143,0.003275625,0.6967193,0.0003747282,0.001366212,0.0007803196,0.1948979,0.0004451944,0.01259324,0.006379291,0.05638324,0.02615773],"study_design_scores_gemma":[0.004768107,0.001217739,0.7641954,0.0004845272,0.001475067,0.0003105565,0.01958165,0.002040419,0.02939668,0.003702047,0.1694104,0.003417342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620926,0.002297501,0.002266594,0.001073972,0.001393934,0.00141608,0.0003671362,0.0002739898,0.02881824],"genre_scores_gemma":[0.9790918,0.0006115037,0.002588031,0.002809747,0.0003202985,0.0001165691,0.00003317496,0.0001174109,0.01431143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1753163,"threshold_uncertainty_score":0.9992451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420672852060435,"score_gpt":0.2921082087445713,"score_spread":0.2479014802239669,"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."}}