{"id":"W1986851502","doi":"10.1021/es011485+","title":"Increases in Food Web Cadmium following Reductions in Atmospheric Inputs to Some Lakes","year":2002,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Research Council Canada","keywords":"Cadmium; Environmental chemistry; Environmental science; Smelting; Food web; Metal; Aquatic ecosystem; Food chain; Ecology; Chemistry; Environmental engineering; Biology; Ecosystem","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":[0.00009923152,0.0001210158,0.0002238127,0.0003370495,0.0006177238,0.0004598789,0.000202488,0.0003114868,0.0007931867],"category_scores_gemma":[0.0005472226,0.0001952675,0.0001400684,0.0003521078,0.0003999944,0.0002440024,0.0004993146,0.0002817661,0.0001011745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006370255,"about_ca_system_score_gemma":0.0002668511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01253743,"about_ca_topic_score_gemma":0.03343077,"domain_scores_codex":[0.9999263,0.000007730025,0.000005170683,0.00001603936,0.00002451387,0.00002016514],"domain_scores_gemma":[0.9996893,0.00002813054,0.0001294157,0.00001611852,0.00008700944,0.0000500284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009253052,0.0001124772,0.7988374,0.00007827277,0.000138245,0.0008479692,0.002567438,0.0005310906,0.187303,0.0001179797,0.0002872965,0.008253431],"study_design_scores_gemma":[0.000004661277,0.00009746649,0.9942661,0.000001391455,0.00001434393,0.00007658511,0.0004125831,0.0001669792,0.004606908,0.00003487084,0.0003144748,0.000003683135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997291,0.0000190553,0.00002532964,0.00001925943,4.986529e-7,0.000001320282,0.00005235515,0.000003324548,0.0001497848],"genre_scores_gemma":[0.9994026,0.00002968937,0.0000925373,0.00001985703,0.000001522758,0.000004616966,0.0001251408,0.000002342805,0.0003216845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253743,"threshold_uncertainty_score":0.02492887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008060627290632753,"score_gpt":0.2142254888244628,"score_spread":0.2061648615338301,"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."}}