{"id":"W2068166579","doi":"10.1016/j.envint.2008.04.006","title":"A mass budget of polybrominated diphenyl ethers in San Francisco Bay, CA","year":2008,"lang":"en","type":"article","venue":"Environment International","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"AXYS Technologies (Canada)","funders":"U.S. Geological Survey","keywords":"Tributary; Polybrominated diphenyl ethers; Bay; Estuary; Environmental science; Surface runoff; Wastewater; Effluent; Pollution; Sediment; Hydrology (agriculture); Environmental engineering; Pollutant; Oceanography; Geography; Chemistry; Geology; Ecology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001654707,0.0001577823,0.0001580829,0.00007487537,0.00003762204,0.000005327371,0.0004107676,0.00007577489,0.0451714],"category_scores_gemma":[0.00004160313,0.0001553126,0.00005157781,0.0001034193,0.0003007003,0.0001978162,0.0001449558,0.0001550891,0.0008889562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005897193,"about_ca_system_score_gemma":0.00001295441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002170676,"about_ca_topic_score_gemma":0.00003906227,"domain_scores_codex":[0.9984422,0.00004752427,0.000327456,0.0002936896,0.000627063,0.0002620327],"domain_scores_gemma":[0.9994952,0.00004118697,0.0001235102,0.0002452502,5.442553e-7,0.00009429347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001283585,0.0006477238,0.6316059,0.000002782831,0.00008837025,0.000148693,0.002621515,0.007638699,0.3409705,0.00003969331,0.003290773,0.01281692],"study_design_scores_gemma":[0.0008729754,0.00007736515,0.9747483,0.00001136726,0.000005362712,0.00003481997,0.00007056849,0.003825329,0.01265561,0.0003374925,0.00714453,0.000216322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826292,0.00002600274,0.001059399,0.000431252,0.0003177368,0.0001405937,0.0001596506,0.00001713668,0.01521901],"genre_scores_gemma":[0.9952104,0.00003595803,0.002832934,0.0001596046,0.00004747965,0.000006086942,0.000008988224,0.00002090918,0.001677658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3431424,"threshold_uncertainty_score":0.999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007941551080001533,"score_gpt":0.2148052503774349,"score_spread":0.2068636992974334,"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."}}