{"id":"W1967833003","doi":"10.1080/15320380902978847","title":"Using Earthworms to Assess Hg Distribution and Bioavailability in Gold Mining Soils","year":2009,"lang":"en","type":"article","venue":"Soil and Sediment Contamination An International Journal","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mercury (programming language); Environmental chemistry; Tailings; Soil water; Earthworm; Bioavailability; Environmental science; Bioaccumulation; Organic matter; Methylmercury; Chemistry; Ecology; Soil science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002379654,0.0005165093,0.0001965148,0.0007599276,0.0001995957,0.0003119094,0.0001801602,0.0003419922,0.0003291951],"category_scores_gemma":[0.0003152736,0.0001780605,0.0001978312,0.0003848005,0.000241441,0.000177442,0.0002916944,0.0001901731,0.0001222654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361318,"about_ca_system_score_gemma":0.0002007111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009322093,"about_ca_topic_score_gemma":0.01688059,"domain_scores_codex":[0.9998193,0.00002145931,0.00001565205,0.00006276711,0.00004795885,0.00003296855],"domain_scores_gemma":[0.9998131,0.00003903438,0.00005547613,0.00001507383,0.00004425871,0.00003317933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002559394,0.0001187812,0.08668426,0.0001054676,0.00004417686,0.0001052151,0.0001551305,0.0001703107,0.9042833,0.00004402596,0.00002270625,0.008010695],"study_design_scores_gemma":[0.00004079677,0.004182911,0.7168093,0.00003781197,0.0001180708,0.0003517537,0.0003492967,0.0007417807,0.2755098,0.00008837697,0.001749278,0.0000209215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981495,0.0004647139,0.0004825554,0.000008715728,0.000002224227,0.0000362424,0.0002089394,0.00001407409,0.0006329808],"genre_scores_gemma":[0.9954236,0.0009527247,0.001891314,0.0000416294,0.000003280794,0.00003072687,0.0005233333,0.000003420174,0.001129931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009322093,"threshold_uncertainty_score":0.01853567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580037214510362,"score_gpt":0.3242856262870072,"score_spread":0.2784852541419036,"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."}}