{"id":"W4237109301","doi":"10.1021/cen-09546-cover3","title":"Trout, monitors of the Great LakesTrout, monitors of the Great Lakes","year":2017,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trout; Salvelinus; Environmental science; Pollutant; Petromyzon; Fishery; Environmental chemistry; Environmental protection; Fish <Actinopterygii>; Ecology; Chemistry; Biology; Lamprey","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002015924,0.0002671602,0.0003001139,0.00001274809,0.0003389742,0.00005805672,0.002365442,0.000126699,0.0004692338],"category_scores_gemma":[0.000343623,0.0001524707,0.0002883341,0.0001755941,0.001037051,0.0002951206,0.001055888,0.0001787411,0.00009061846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003856572,"about_ca_system_score_gemma":0.00004516572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036606,"about_ca_topic_score_gemma":0.000435971,"domain_scores_codex":[0.9980926,0.000141455,0.0003708359,0.0003211568,0.0006465541,0.0004273769],"domain_scores_gemma":[0.9975161,0.00004030793,0.0004874518,0.001804365,0.000004988588,0.0001467841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004315699,0.00007327623,0.9729797,0.00000562028,0.00004072429,0.000004386068,0.0003780143,0.00003702187,0.005504173,0.00001562357,0.001051416,0.01986687],"study_design_scores_gemma":[0.0004793112,0.00005412096,0.9819162,0.00007987566,0.00006701416,0.00002124127,0.0001139492,0.00005619379,0.01555203,0.0002421456,0.00127145,0.0001465021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834287,0.00005744542,0.00001620553,0.0005781949,0.001226247,0.0003038534,0.0004927268,0.00002702622,0.01386965],"genre_scores_gemma":[0.9984814,0.00001686511,0.00006007111,0.00006024692,0.00009265693,0.000003146704,2.656402e-7,0.00001875115,0.001266604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01972036,"threshold_uncertainty_score":0.6217574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007919989767481407,"score_gpt":0.2445610567746636,"score_spread":0.2366410670071822,"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."}}