{"id":"W2167883374","doi":"10.1039/c1em10225g","title":"Arsenic transformations in terrestrial small mammal food chains from contaminated sites in Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental Monitoring","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Defence Research and Development Canada; Stantec (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale","keywords":"Arsenic; Phocoena; Food chain; Environmental chemistry; Harbour; Contamination; Wet weight; Chemistry; Biology; Ecology","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":[0.0001272216,0.0002374754,0.0001761702,0.0012178,0.001900502,0.0007005616,0.0003996798,0.0001841652,0.001165703],"category_scores_gemma":[0.000287809,0.0001725773,0.0001808696,0.002213593,0.0005561726,0.0001334689,0.0004106467,0.0001665894,0.0002588994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009938933,"about_ca_system_score_gemma":0.00663809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974289,"about_ca_topic_score_gemma":0.9932075,"domain_scores_codex":[0.9997606,0.00001131932,0.000007011024,0.00004942626,0.0001076045,0.00006408194],"domain_scores_gemma":[0.9996667,0.000009655648,0.00004012358,0.000008049166,0.0002236064,0.00005189447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003475281,0.0000302912,0.9338549,0.00008871966,0.00006181722,0.001083654,0.003100379,0.0003412955,0.03888698,0.0002776412,0.0009104581,0.02101641],"study_design_scores_gemma":[0.000002318219,0.00003943613,0.9918312,0.00001162694,0.00001609814,0.0002159909,0.002181708,0.0001727535,0.001933736,0.00003158,0.003555486,0.000008054702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959646,0.0002621416,0.000140982,0.00003668865,0.000002312956,0.00001706259,0.001020111,0.000009877158,0.002546267],"genre_scores_gemma":[0.9932234,0.0006287121,0.0006079497,0.00005553854,0.000001456492,0.000007715298,0.001320492,0.000009706404,0.004145086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.025711,"threshold_uncertainty_score":0.07211238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302221904305603,"score_gpt":0.1857451291996953,"score_spread":0.1627229101566393,"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."}}