{"id":"W2314305105","doi":"10.1021/es301724h","title":"Calibration of the Gastrointestinal Magnification Model to Predict Maximum Biomagnification Potentials of Polychlorinated Biphenyls in a Bird and Fish","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Biomagnification; Feces; Assimilation (phonology); Fish <Actinopterygii>; Environmental chemistry; Polychlorinated biphenyl; Chemistry; Biology; Animal science; Trophic level; Ecology; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002330718,0.0004477194,0.0002660998,0.0001688264,0.0001184106,0.000283796,0.0003907137,0.0004349648,0.0005117108],"category_scores_gemma":[0.0007312524,0.0001874922,0.0003685202,0.0001057391,0.0001533666,0.0002021906,0.0002784796,0.000249553,0.0001092068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005834859,"about_ca_system_score_gemma":0.0003478949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0175425,"about_ca_topic_score_gemma":0.007494092,"domain_scores_codex":[0.9999325,0.00001321084,0.000003822812,0.00002349559,0.00001532662,0.00001162616],"domain_scores_gemma":[0.9998204,0.00007977452,0.00003773215,0.00001043522,0.00003803679,0.00001366102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001362175,0.00003182477,0.03063767,0.00003410818,0.00005524352,0.00008994556,0.00003633567,0.9435479,0.01189979,0.0002207885,0.0001811901,0.01312889],"study_design_scores_gemma":[0.000006574838,0.000047964,0.008265099,0.000002177513,0.000009788215,0.00003076636,0.000006376314,0.990365,0.001069286,0.00007930909,0.0001121634,0.000005501457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530894,0.0001066958,0.04482074,0.00004298889,0.000008107549,0.00002371752,0.0001220669,0.0001866685,0.00159958],"genre_scores_gemma":[0.9947892,0.00003445208,0.004716838,0.000008617079,0.000001569131,0.0000141171,0.00008002569,0.000009492683,0.0003456689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0175425,"threshold_uncertainty_score":0.03488082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009059611276537505,"score_gpt":0.2170959653052875,"score_spread":0.20803635402875,"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."}}