{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003647564,0.0004927839,0.0004540979,0.001803769,0.0005692876,0.00105563,0.0003070869,0.0003794855,0.0007576622],"category_scores_gemma":[0.0006331727,0.0003570549,0.0002493999,0.001622813,0.0005851954,0.0003066097,0.0003281504,0.0002612822,0.0002432728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007524348,"about_ca_system_score_gemma":0.0004894237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06335864,"about_ca_topic_score_gemma":0.1663757,"domain_scores_codex":[0.9997439,0.00002294477,0.00001924088,0.00009013087,0.00008062407,0.00004327876],"domain_scores_gemma":[0.9995875,0.00007723416,0.0001025531,0.00001943496,0.0001753561,0.00003788394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006112687,0.0001070928,0.7437963,0.0004324436,0.0001795837,0.0007550242,0.004761667,0.0003415789,0.2220908,0.000255359,0.0001127465,0.02655616],"study_design_scores_gemma":[0.000007684179,0.0002435795,0.9763313,0.00004284493,0.00007090162,0.0002883929,0.002608421,0.0005233375,0.01580212,0.00006652528,0.004000895,0.00001400667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977601,0.0004201551,0.000230653,0.00001101582,0.000004616689,0.00001376723,0.0004397688,0.00001082975,0.001109055],"genre_scores_gemma":[0.9963033,0.0007439665,0.001138123,0.000012479,0.000005055395,0.00002396775,0.0002943529,0.000009196262,0.001469523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06335864,"threshold_uncertainty_score":0.1259797,"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."}}