{"id":"W2018590136","doi":"10.1016/j.microc.2011.06.015","title":"Heavy metal distribution in the sediment profiles of the Sauípe River Estuary, north seashore of the Bahia State, Brazil","year":2011,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Mangrove; Estuary; Sediment; Environmental science; Hydrology (agriculture); Sedimentary rock; Pollution; Channel (broadcasting); Geology; Spatial distribution; Oceanography; Ecology; Geomorphology; Geochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006431973,0.0001614704,0.0001887353,0.00001113852,0.0001316279,0.000009485515,0.0009793397,0.00006220123,0.0004537051],"category_scores_gemma":[0.00005806991,0.0000757716,0.0001958776,0.0002552557,0.0009913644,0.000103315,0.0004603275,0.000514995,0.00001948619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002391886,"about_ca_system_score_gemma":0.00003051139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203345,"about_ca_topic_score_gemma":0.00004683406,"domain_scores_codex":[0.9980251,0.000296652,0.000486983,0.0001900313,0.0006977136,0.0003035007],"domain_scores_gemma":[0.999185,0.00005329407,0.0002685132,0.0004096854,0.00001063332,0.00007285418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007253079,0.0006544112,0.5325955,0.0000135815,0.00004141223,0.000005492263,0.003278414,0.0001521721,0.4573974,0.00001179575,0.003436794,0.002340472],"study_design_scores_gemma":[0.0002051297,0.0000342095,0.5815699,0.0000232881,0.00002901665,0.00005469282,0.0001294509,0.00001748458,0.4163968,0.0002713715,0.001196449,0.00007225423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985649,0.00008732874,0.0001061769,0.000445624,0.0001112613,0.000304391,0.00005384625,0.000002807152,0.0003236899],"genre_scores_gemma":[0.9992082,0.0000367966,0.0004635651,0.0001915194,0.00002815314,0.000008684066,0.000004968997,0.00000949405,0.00004864838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04897435,"threshold_uncertainty_score":0.4967752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110495589808768,"score_gpt":0.2115215886959668,"score_spread":0.2004166327978791,"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."}}