{"id":"W2724566043","doi":"10.32360/acmar.v44i2.158","title":"AVALIAÇÃO PRELIMINAR DAS CONCENTRAÇÕES DE METAIS PESADOS NOS SEDIMENTOS DA LAGOA DO ARAÇÁ, RECIFE, ESTADO DE PERNAMBUCO","year":2011,"lang":"pt","type":"article","venue":"Arquivos de Ciências do Mar","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Environmental chemistry; Manganese; Contamination; Pollution; Sediment; Zinc; Limiting; Chemistry; Metallurgy; Geology; Ecology; Biology; Materials science","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004122313,0.001436968,0.00124465,0.0002216689,0.0006913987,0.0003488357,0.002525511,0.0009580559,0.02949545],"category_scores_gemma":[0.0006890469,0.001530097,0.0006789084,0.0006589476,0.001585479,0.0009614028,0.001488387,0.001399743,0.0067762],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004090143,"about_ca_system_score_gemma":0.0003958955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522391,"about_ca_topic_score_gemma":0.0001672222,"domain_scores_codex":[0.9886512,0.00174953,0.001609186,0.002261043,0.001983545,0.003745495],"domain_scores_gemma":[0.994076,0.0005103452,0.0007959256,0.002578938,0.00004216115,0.001996625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00118514,0.005068375,0.7124839,0.0005115469,0.001474418,0.002452997,0.09398003,0.002251934,0.08087687,0.001328978,0.031489,0.06689681],"study_design_scores_gemma":[0.004987177,0.002609778,0.6501157,0.0008406744,0.002763556,0.0008544845,0.01095359,0.00771424,0.1446244,0.002652276,0.1669153,0.004968853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655495,0.00379749,0.004517132,0.0006542837,0.001141949,0.002262715,0.0002454937,0.0002688795,0.02156257],"genre_scores_gemma":[0.9707285,0.003445301,0.0151112,0.00238366,0.0004069204,0.000343144,0.00002811796,0.0003061111,0.007247109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354263,"threshold_uncertainty_score":0.999838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03628641093858324,"score_gpt":0.2734876452859881,"score_spread":0.2372012343474048,"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."}}