{"id":"W4280543397","doi":"10.1021/acschemneuro.2c00166","title":"Molecular Fates of Organometallic Mercury in Human Brain","year":2022,"lang":"en","type":"article","venue":"ACS Chemical Neuroscience","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"National Institute of General Medical Sciences; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Mercury (programming language); Methylmercury; Environmental chemistry; Bioaccumulation; Chemistry; Mercury poisoning; Toxicity; Environmental toxicology; Physiology; Toxicology; Biology","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":[0.00006770404,0.000135053,0.00009902687,0.0002855383,0.0001460368,0.0001673847,0.0001603982,0.000264121,0.001469276],"category_scores_gemma":[0.0001388539,0.00007905439,0.00007535506,0.0001442095,0.0001830692,0.0001226621,0.0001471666,0.0001592204,0.0003109924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278664,"about_ca_system_score_gemma":0.0001075238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615671,"about_ca_topic_score_gemma":0.001960004,"domain_scores_codex":[0.9999579,0.000006379179,0.000001518251,0.00001597697,0.00001059716,0.000007529222],"domain_scores_gemma":[0.9999703,0.000005040213,0.000009063364,0.000002196084,0.00001025259,0.000003135111],"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":[0.0004974315,0.00004210462,0.01569055,0.0001113195,0.00006457904,0.0004040263,0.0003702376,0.0002226563,0.9708546,0.0003382172,0.0002458585,0.01115837],"study_design_scores_gemma":[0.00001446367,0.0009784838,0.2281824,0.00003167921,0.00009891974,0.002504114,0.001035152,0.001481233,0.7587211,0.001254189,0.005674662,0.00002359305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966338,0.001166316,0.0007942788,0.00007001822,0.000004850314,0.000003842766,0.0001803113,0.00002019463,0.001126439],"genre_scores_gemma":[0.9953089,0.00109574,0.0008708265,0.00004217808,0.000003816882,0.000008788717,0.0002452461,0.000008104998,0.002416468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001615671,"threshold_uncertainty_score":0.004915237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664309129488687,"score_gpt":0.2623958425615393,"score_spread":0.2457527512666524,"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."}}