{"id":"W2078197912","doi":"10.1007/s00244-008-9205-7","title":"Influence of Mercury Speciation and Fractionation on Bioaccessibility in Soils","year":2008,"lang":"en","type":"article","venue":"Archives of Environmental Contamination and Toxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioavailability; Mercury (programming language); Environmental chemistry; Soil water; Chemistry; Fractionation; Regulation of gastric function; Contamination; Environmental science; Chromatography; Soil science; Stomach; Ecology; Biology; Pharmacology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009888245,0.0000714495,0.000130557,0.00008255285,0.00005798496,0.000001372166,0.00003694302,0.00003580089,0.0001250595],"category_scores_gemma":[0.00005926763,0.00006910008,0.00001502957,0.00005046833,0.0006157026,0.0001823349,0.0000592864,0.00005627831,0.000004055601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003221423,"about_ca_system_score_gemma":0.000003381354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000538009,"about_ca_topic_score_gemma":0.00008742462,"domain_scores_codex":[0.9993401,0.00007421093,0.0002294009,0.0001605946,0.0001173662,0.00007839137],"domain_scores_gemma":[0.9995688,0.0002084166,0.0001249816,0.00006454789,0.000001418566,0.00003181238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005292415,0.0001836801,0.8248497,0.000007996146,0.000006086027,9.767216e-7,0.001830335,0.0003817147,0.1515733,0.0004072733,0.000004152281,0.02070186],"study_design_scores_gemma":[0.0004591687,0.0001845473,0.9840712,0.000007243308,0.000003849536,0.000004604934,0.0001860187,0.0002976681,0.01409296,0.0005659655,0.00007032574,0.00005647695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971713,0.00004200796,0.00004176853,0.000121719,0.0000134125,0.0001485935,0.00001138492,0.000003171508,0.00244663],"genre_scores_gemma":[0.9991366,0.0005493924,0.0001306369,0.00008552081,0.000004153579,0.000007620281,0.000007026204,0.000002750056,0.00007630667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1592215,"threshold_uncertainty_score":0.2817819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211298463050549,"score_gpt":0.246232916046342,"score_spread":0.2341199314158365,"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."}}