{"id":"W2006801504","doi":"10.1039/a909597g","title":"Chemical availability of mercury in stream sediments from the Almadén area, Spain","year":2000,"lang":"en","type":"article","venue":"Journal of Environmental Monitoring","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Centre National de la Recherche Scientifique","keywords":"Mercury (programming language); Cinnabar; Environmental chemistry; Methylmercury; Fractionation; Organomercury Compounds; Chemistry; Certified reference materials; Sediment; Pollutant; Mineralogy; Environmental science; Geology; Chromatography; Bioaccumulation; Metal; Detection limit","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002906279,0.0005481727,0.0005162745,0.001660942,0.0004795753,0.001128127,0.0004086438,0.0005301746,0.0004699375],"category_scores_gemma":[0.0004835722,0.0002371369,0.0002049352,0.001210508,0.0003671263,0.0002081783,0.0004058049,0.0002139924,0.000152285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053772,"about_ca_system_score_gemma":0.0006967218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03242756,"about_ca_topic_score_gemma":0.05400472,"domain_scores_codex":[0.9996537,0.00003189261,0.00002535066,0.0001289187,0.0001117065,0.00004842591],"domain_scores_gemma":[0.9997492,0.00003863819,0.00007678966,0.00001012062,0.0001016538,0.00002358529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001589646,0.0002319608,0.6763843,0.0009448137,0.0004658322,0.001368683,0.001209952,0.001862616,0.2672902,0.00009816173,0.0003819189,0.04817186],"study_design_scores_gemma":[0.00006800645,0.0002367078,0.9729445,0.00004884635,0.0001090798,0.0004080753,0.000625478,0.0006590711,0.02158529,0.00009363149,0.003203908,0.0000172841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998054,0.0006498593,0.0001425525,0.0000129601,0.000006447519,0.00001017858,0.0002869576,0.00001013554,0.0008269037],"genre_scores_gemma":[0.9961743,0.0009262029,0.0008043285,0.00004095666,0.000009694238,0.00001776861,0.000788451,0.000009819984,0.001228249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03242756,"threshold_uncertainty_score":0.06447762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566681748981983,"score_gpt":0.2416458131006227,"score_spread":0.2259789956108028,"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."}}