{"id":"W2076728058","doi":"10.1897/03-390","title":"Multimedia persistence as an indicator of potential for population-level intake of environmental contaminants","year":2004,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention","keywords":"Persistence (discontinuity); Population; Environmental science; Contamination; Residence; Bioaccumulation; Residence time (fluid dynamics); Multiple exposure; Statistics; Environmental chemistry; Computer science; Ecology; Environmental health; Mathematics; Chemistry; Demography; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008131941,0.0002749698,0.0002096323,0.001496995,0.0002561285,0.0007293827,0.0005388406,0.0003740444,0.001713883],"category_scores_gemma":[0.002912109,0.0001077476,0.0004553827,0.001276002,0.0005877914,0.0005805519,0.0007053686,0.0003443097,0.0001271933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963923,"about_ca_system_score_gemma":0.001012799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04055437,"about_ca_topic_score_gemma":0.04149763,"domain_scores_codex":[0.99957,0.0000563648,0.00002010807,0.00009912351,0.0001957481,0.00005862588],"domain_scores_gemma":[0.997727,0.0007330279,0.0009941068,0.0001628065,0.0002919078,0.00009122544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002376174,0.00009759203,0.8826534,0.0001520744,0.0002805103,0.0003250711,0.0003405342,0.05278547,0.02145961,0.004670947,0.0004620862,0.03653511],"study_design_scores_gemma":[0.000007943086,0.0006954774,0.9210598,0.00002950997,0.0002084654,0.0006486347,0.0006947197,0.05661049,0.01157727,0.005154658,0.003258038,0.00005502636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718958,0.0004667186,0.01780446,0.0001642725,0.00000507764,0.00006355327,0.001999626,0.0001031454,0.007497371],"genre_scores_gemma":[0.9961215,0.0001496967,0.002309432,0.00001844647,0.000003600513,0.00002196817,0.0005361286,0.000004354893,0.0008348829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04055437,"threshold_uncertainty_score":0.08063662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009043480786359177,"score_gpt":0.2211348869900173,"score_spread":0.2120914062036581,"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."}}