{"id":"W6959168166","doi":"10.1021/es302415z.s001","title":"Polybrominated Diphenyl\\nEthers (PBDEs): Turning the\\nCorner in Great Lakes Trout 1980–2009","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trout; Polybrominated diphenyl ethers; Fish <Actinopterygii>; Rainbow trout; Aquatic environment; Salmonidae; Piscivore","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":[0.0002718882,0.0001900467,0.00008779922,0.0006905721,0.0004311019,0.0004766526,0.0002495885,0.0002602227,0.0008804624],"category_scores_gemma":[0.0002499996,0.0002251133,0.0002326507,0.0006900619,0.0005402618,0.0003831834,0.000429374,0.0002664283,0.0002547481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002891175,"about_ca_system_score_gemma":0.0007730669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3285688,"about_ca_topic_score_gemma":0.6687994,"domain_scores_codex":[0.9998758,0.000007773687,0.000005552091,0.00004497506,0.00004505056,0.00002082784],"domain_scores_gemma":[0.9997433,0.00001134991,0.00008469277,0.00001084416,0.0001014377,0.00004835567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001194945,0.00001980441,0.9790995,0.00002649,0.00004699965,0.0001542188,0.001194961,0.0002346113,0.01160815,0.000137913,0.00102058,0.006337352],"study_design_scores_gemma":[0.000001394115,0.00001630866,0.9977586,0.00000433225,0.000007454028,0.00002324551,0.0001848998,0.00006729361,0.0005870332,0.00001131356,0.001335346,0.000002640439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967092,0.0002278993,0.0001021317,0.00008191014,0.000004263193,0.000004702589,0.0005698263,0.00001173309,0.002288272],"genre_scores_gemma":[0.9936501,0.0002202901,0.0002101924,0.00006306104,0.000007700371,0.000009715651,0.000856789,0.000006262471,0.004975884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3285688,"threshold_uncertainty_score":0.6533127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605140890868398,"score_gpt":0.2259514838515474,"score_spread":0.2099000749428634,"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."}}