{"id":"W2074240810","doi":"10.1016/s0045-6535(99)00493-2","title":"Chemical and biological profiles of sediments as indicators of sources of contamination in Hamilton Harbour. Part II: Bioassay-directed fractionation using the Ames Salmonella/microsome assay","year":2000,"lang":"en","type":"article","venue":"Chemosphere","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Environment and Climate Change Canada","funders":"","keywords":"Pyrene; Environmental chemistry; Chemistry; Ames test; Bioassay; Microsome; Genotoxicity; Polycyclic aromatic hydrocarbon; Chromatography; S9 fraction; Fractionation; Chrysene; Contamination; Sediment; Phenanthrene; Salmonella; Bacteria; Toxicity; Organic chemistry; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006172631,0.0002144608,0.0001072295,0.0008527031,0.0003098386,0.0003093085,0.0001570496,0.0001516737,0.0004226046],"category_scores_gemma":[0.0001493286,0.0001743634,0.0001000556,0.0006415332,0.0003003296,0.0001133714,0.0002267236,0.0001247016,0.0001137677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056336,"about_ca_system_score_gemma":0.0009531521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2332036,"about_ca_topic_score_gemma":0.4007507,"domain_scores_codex":[0.9999163,0.000006240643,0.000005237866,0.00001769159,0.00003710633,0.00001742575],"domain_scores_gemma":[0.9998516,0.00001221199,0.00004693884,0.000003658256,0.00005882854,0.00002668004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000355672,0.00003315662,0.2639807,0.00007845774,0.00006970234,0.0002703799,0.0004222159,0.0005341966,0.7258073,0.000129248,0.0001643272,0.008154534],"study_design_scores_gemma":[0.000005669449,0.0001577541,0.9351244,0.000004973429,0.00003421584,0.00008041433,0.0002617878,0.0002693259,0.06327951,0.00003473704,0.0007397664,0.000007482553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997353,0.0002726154,0.0006165711,0.00002132284,0.000002358032,0.00002392268,0.0008083455,0.00001024743,0.0008915976],"genre_scores_gemma":[0.9972249,0.0002345944,0.0005861495,0.00001699772,0.000001748244,0.000008703247,0.0004196057,0.000003465893,0.001503842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2332036,"threshold_uncertainty_score":0.4636924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009890918262971234,"score_gpt":0.2521623943861862,"score_spread":0.242271476123215,"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."}}