{"id":"W2108437032","doi":"10.1016/j.scitotenv.2014.01.026","title":"Historical records, sources, and spatial trends of PCBs along the Rhône River (France)","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"Agence Nationale de la Recherche","keywords":"Congener; Environmental science; Sediment; Hydrology (agriculture); Mediterranean climate; Historical record; Fish <Actinopterygii>; Environmental chemistry; Fishery; Geography; Geology; Archaeology; Chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001403719,0.0001573572,0.000188449,0.00002910773,0.0003873429,0.00001531932,0.001181764,0.00003798894,0.0008622841],"category_scores_gemma":[0.0001146565,0.0000732805,0.00008416711,0.0003283956,0.00468131,0.0001424125,0.0009346561,0.0001657802,0.00003984378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000362401,"about_ca_system_score_gemma":0.00001739694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002703576,"about_ca_topic_score_gemma":0.00003017232,"domain_scores_codex":[0.9979326,0.0001338757,0.0002939502,0.0003128515,0.0009716266,0.0003551189],"domain_scores_gemma":[0.9986569,0.00009996653,0.0002706799,0.0008680196,9.448457e-7,0.0001034338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005482966,0.0002346772,0.01010952,0.000006018199,0.00002888393,7.299612e-7,0.005117096,0.008498433,0.3683567,0.00009058084,0.0009407749,0.6065617],"study_design_scores_gemma":[0.0002720968,0.0001662238,0.9609774,0.00001102084,0.0000385969,0.0000258005,0.00006350828,0.003541964,0.03176894,0.0003821551,0.002608897,0.0001433873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940767,0.000115331,0.0001708698,0.003181475,0.000293685,0.0001446495,0.000009222334,0.00000819431,0.001999818],"genre_scores_gemma":[0.9954681,0.00003263901,0.0001814075,0.00004387854,0.00004858018,0.000002363995,4.297051e-8,0.00001019998,0.004212725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9508679,"threshold_uncertainty_score":0.9980274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006298461457353033,"score_gpt":0.187049744129136,"score_spread":0.1807512826717829,"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."}}