{"id":"W1998151975","doi":"10.1016/j.envpol.2006.05.020","title":"Relative contribution of food and water to 27 metals and metalloids accumulated by caged Hyalella azteca in two rivers affected by metal mining","year":2006,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Hyalella azteca; Environmental chemistry; Metalloid; Chemistry; Environmental science; Metal; Ecology; Biology; Crustacean; Amphipoda","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003951505,0.0002878245,0.0003794416,0.00009578951,0.000180822,0.00001257191,0.0001021327,0.0001884542,0.0006798767],"category_scores_gemma":[0.00001798455,0.0002653803,0.00005745326,0.0001453687,0.0006978018,0.0004149717,0.000276804,0.0001835784,0.00007082031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103729,"about_ca_system_score_gemma":0.000001606484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002431993,"about_ca_topic_score_gemma":0.0003013718,"domain_scores_codex":[0.9980483,0.0002901376,0.0004089104,0.0005609214,0.0002241487,0.0004675839],"domain_scores_gemma":[0.9995371,0.00005656056,0.0001282662,0.0001481355,8.346658e-7,0.0001291229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008888401,0.0002354499,0.0243242,0.00000258577,0.00005178087,0.00000402729,0.0002416939,0.0008797534,0.9734552,0.00002142209,0.0003939226,0.000301082],"study_design_scores_gemma":[0.002517672,0.0007018936,0.138974,0.000008248681,0.0001052435,0.00001877088,0.0001525644,0.000427213,0.8555421,0.0004122731,0.000775794,0.0003642098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978614,0.0003730361,0.0003157516,0.0001719605,0.000062241,0.0006410747,0.0001574038,0.00002117249,0.0003959711],"genre_scores_gemma":[0.998419,0.0000484755,0.0003159374,0.0001398095,0.000008525488,0.00003333628,0.0002324983,0.00002104117,0.000781397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1179131,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004612692801554016,"score_gpt":0.2108324790966372,"score_spread":0.2062197862950832,"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."}}