{"id":"W2529958832","doi":"10.5894/rgci670","title":"Evaluation of metals availability in sediments of the Bertioga Channel (Santos Estuarine Complex - SP - Brazil): A tool for chemical pollution monitoring","year":2016,"lang":"en","type":"article","venue":"Revista de Gestão Costeira Integrada","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estuary; Environmental science; Pollution; Channel (broadcasting); Environmental chemistry; Hydrology (agriculture); Geology; Oceanography; Engineering; Ecology; Chemistry; Geotechnical engineering; Biology","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":[0.0001971502,0.0003764918,0.000241101,0.001226949,0.0004046903,0.0005337811,0.0002061133,0.0004144117,0.0003663146],"category_scores_gemma":[0.0003174964,0.0002467807,0.0001866565,0.001021253,0.0002451427,0.0002378427,0.000424883,0.000165811,0.0001384616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859028,"about_ca_system_score_gemma":0.0003944869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182672,"about_ca_topic_score_gemma":0.05982908,"domain_scores_codex":[0.9998482,0.00001171967,0.00001178668,0.00003966538,0.00006781251,0.0000206697],"domain_scores_gemma":[0.9998305,0.00001961444,0.00006257721,0.00000646014,0.00006410837,0.00001667131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000224607,0.0001045165,0.6379884,0.0002815645,0.00009067018,0.0009804566,0.001860666,0.0007695691,0.3321989,0.0002101144,0.0002054651,0.02508498],"study_design_scores_gemma":[0.000008577555,0.0002092041,0.9731857,0.00004016305,0.00005590475,0.0006003037,0.001189284,0.001893993,0.01832895,0.00007478457,0.004397637,0.00001546986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973138,0.0003273011,0.0006934474,0.00002154299,0.000004411148,0.00002040083,0.0003404022,0.00001656162,0.001262155],"genre_scores_gemma":[0.9970564,0.0002990012,0.001576271,0.00001661893,0.000003466867,0.00001671602,0.0002601377,0.000006973846,0.0007645172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0182672,"threshold_uncertainty_score":0.03632176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952160925831904,"score_gpt":0.3097412432806422,"score_spread":0.2602196340223231,"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."}}