{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002971111,0.0004854729,0.0003252668,0.001802466,0.0004926696,0.0007300127,0.0003553204,0.0003859012,0.0009359787],"category_scores_gemma":[0.0005819144,0.0003572418,0.0002198649,0.001903914,0.0005237959,0.0002453337,0.0003343927,0.000191681,0.0002773217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007974405,"about_ca_system_score_gemma":0.0003820094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06304573,"about_ca_topic_score_gemma":0.1661931,"domain_scores_codex":[0.999761,0.00002247184,0.00001429642,0.00007688112,0.00008599257,0.00003930893],"domain_scores_gemma":[0.9997439,0.00004544764,0.0001027592,0.00001722177,0.00007134354,0.00001932385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003024225,0.0001039182,0.8269138,0.0004544621,0.0001622796,0.0006940497,0.003998525,0.0004064932,0.1204264,0.0004717695,0.0002321642,0.04583369],"study_design_scores_gemma":[0.000004350549,0.0001125163,0.9877407,0.00003296246,0.00004280778,0.0002519144,0.001174921,0.000479009,0.007136762,0.00006737193,0.00294777,0.000008906424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966424,0.0004098417,0.0003281633,0.00001612752,0.000002840239,0.0000174533,0.0004935195,0.00002139681,0.002068296],"genre_scores_gemma":[0.9967453,0.0005826027,0.0008972837,0.00001012568,0.000004361345,0.00002560449,0.0002886073,0.00000770201,0.00143828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06304573,"threshold_uncertainty_score":0.1253576,"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."}}