{"id":"W1978783735","doi":"10.1021/es060134y","title":"Synthetic Musk Fragrances in Lake Erie and Lake Ontario Sediment Cores","year":2006,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; Center for Global and Regional Environmental Research, University of Iowa; University of Wisconsin-Milwaukee; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Sediment; Environmental chemistry; Sediment core; Environmental science; Mass spectrometry; Gas chromatography; Gas chromatography–mass spectrometry; Chemistry; Geology; Chromatography; Geomorphology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002587714,0.0001918391,0.0002057733,0.0001477263,0.0001499543,0.00002541804,0.0004174976,0.0001702636,0.004750433],"category_scores_gemma":[0.00003504172,0.0001810071,0.00002558091,0.000328349,0.002654545,0.00009775909,0.0003551624,0.0003041334,0.00003019913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004820877,"about_ca_system_score_gemma":0.00006229064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001596421,"about_ca_topic_score_gemma":0.05829924,"domain_scores_codex":[0.9982278,0.000006417461,0.0002752374,0.000633979,0.0003611565,0.0004953808],"domain_scores_gemma":[0.9994978,0.00003625497,0.00007312431,0.0003087576,0.000003043552,0.00008104578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001369316,0.000253703,0.5840909,0.00001752799,0.000007486532,0.0000786552,0.0001574255,0.00003590884,0.406015,0.000561845,0.00003980943,0.008728017],"study_design_scores_gemma":[0.0006233716,0.00004510428,0.105542,0.00005961847,0.0000181424,0.00009625827,0.0005954213,0.0001497285,0.6892715,0.006726378,0.1963109,0.0005616148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868016,0.0001295966,0.0002039481,0.0003705699,0.00003454261,0.00006652082,0.00002493128,0.0000747248,0.01229353],"genre_scores_gemma":[0.9918455,0.00002291418,0.006119523,0.00003411671,0.00001502116,0.00003228605,0.00001381204,0.000009348527,0.001907517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478549,"threshold_uncertainty_score":0.9961594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005839927950283296,"score_gpt":0.2125269072027782,"score_spread":0.2066869792524949,"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."}}