{"id":"W2055056620","doi":"10.1021/es062443u","title":"Lead Bioaccessibility in Food Web Intermediates and the Influence on Ecological Risk Characterization","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale","keywords":"Earthworm; Soil water; Vegetation (pathology); Environmental chemistry; Food web; Environmental science; Bioavailability; Contamination; Ecology; Chemistry; Trophic level; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004182511,0.0005873249,0.0004286724,0.0003690284,0.0002196036,0.0008581713,0.0007077378,0.0004674321,0.0008633495],"category_scores_gemma":[0.001179573,0.0002302082,0.0005560987,0.0002630341,0.000376011,0.0003934971,0.0003879043,0.0002599296,0.0001332131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486775,"about_ca_system_score_gemma":0.0006139266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06122844,"about_ca_topic_score_gemma":0.04108298,"domain_scores_codex":[0.9998603,0.00004717603,0.000006850008,0.00003556506,0.00002167428,0.00002849807],"domain_scores_gemma":[0.999463,0.0002942545,0.0001068073,0.00002637898,0.00006919354,0.00004038048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002334845,0.00005084427,0.02504189,0.00005750547,0.00006246793,0.0001126413,0.0000507711,0.9620873,0.009422625,0.0006998341,0.00007307755,0.002107617],"study_design_scores_gemma":[0.00002742412,0.0002533352,0.008397411,0.000007486472,0.00004726337,0.00006100123,0.00007613114,0.9868625,0.003516249,0.0004910376,0.000245099,0.00001502321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926416,0.00007325047,0.00616498,0.00001395672,0.000002078392,0.00002102551,0.000252199,0.00003606606,0.0007948602],"genre_scores_gemma":[0.9959725,0.0001075467,0.003079492,0.000006499313,7.171715e-7,0.00002736681,0.0002278977,0.000007862137,0.0005701623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06122844,"threshold_uncertainty_score":0.1217442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004813811119331605,"score_gpt":0.2236966979357468,"score_spread":0.2188828868164152,"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."}}