{"id":"W4378782175","doi":"10.1039/d3em00076a","title":"Mixture effect assessment applying <i>in vitro</i> bioassays to in-tissue silicone extracts of traditional foods prepared from beluga whale blubber","year":2023,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Helmholtz Association; Aurora Research Institute","keywords":"Bioassay; Blubber; Environmental chemistry; Beluga Whale; Pollutant; Chemistry; Biology; Food science; Ecology; Arctic","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001261556,0.001277094,0.000440151,0.0008953618,0.0004473233,0.0007415751,0.0006507986,0.0009395405,0.002332192],"category_scores_gemma":[0.0008135344,0.000420653,0.0009160265,0.0004297423,0.0004110948,0.0004883498,0.0006914187,0.0006905033,0.0006943435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005776079,"about_ca_system_score_gemma":0.0004764559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003659485,"about_ca_topic_score_gemma":0.005600513,"domain_scores_codex":[0.9984831,0.0004092441,0.0001468962,0.0002946112,0.0005410364,0.0001251965],"domain_scores_gemma":[0.999262,0.0002368814,0.000127646,0.0001017782,0.0002106798,0.00006083681],"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":[0.0002345845,0.00008480802,0.000863181,0.00007901021,0.00003603564,0.00002863921,0.00002867009,0.0002729578,0.9963948,0.0000274105,0.00003455257,0.001915422],"study_design_scores_gemma":[0.00000803384,0.001838645,0.004238001,0.000006227152,0.00008858839,0.00007277401,0.00004674794,0.0007464185,0.9920041,0.00002616109,0.0009103405,0.00001394138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254357,0.003371312,0.05861838,0.0001703923,0.000141658,0.001070922,0.002370792,0.0004708522,0.008350015],"genre_scores_gemma":[0.9384828,0.002945041,0.04597671,0.0002406531,0.00003616362,0.0005619941,0.002341667,0.00008914725,0.009325897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003659485,"threshold_uncertainty_score":0.00780195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127511944361798,"score_gpt":0.263956957051329,"score_spread":0.2526818376077111,"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."}}