{"id":"W2884833890","doi":"10.1016/j.envres.2018.06.038","title":"Brain methylmercury uptake in fetal, neonate, weanling, and adult rats","year":2018,"lang":"en","type":"article","venue":"Environmental Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Genomics; University of Ottawa","funders":"Ministry of the Environment, Government of Japan","keywords":"Weanling; Methylmercury; Fetus; Internal medicine; Endocrinology; Toxicity; Teratology; Pregnancy; Gestation; In utero; Medicine; Physiology; Chemistry; Biology; Environmental chemistry","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":[0.0000977374,0.000355602,0.0002533577,0.0005109841,0.0002363449,0.0002812867,0.0002849333,0.0003254699,0.001619889],"category_scores_gemma":[0.0002217868,0.0002483622,0.0001914634,0.0001382712,0.0004546261,0.0005080989,0.0002411831,0.0006085113,0.0002869498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006866487,"about_ca_system_score_gemma":0.0004651317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261327,"about_ca_topic_score_gemma":0.02038088,"domain_scores_codex":[0.9999263,0.000004834163,0.000003356014,0.0000260149,0.0000120183,0.0000274928],"domain_scores_gemma":[0.99977,0.00003078549,0.00005084132,0.00002701844,0.00004100856,0.00008031368],"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":[0.009709144,0.0002854482,0.0190661,0.00009214313,0.00007301541,0.0005310404,0.0006945224,0.0001572633,0.9460773,0.0005820763,0.0004023192,0.02232976],"study_design_scores_gemma":[0.0001069082,0.004434275,0.2796818,0.00002908537,0.0002791325,0.0009492081,0.00134028,0.0011988,0.7085217,0.000452659,0.002949116,0.00005703978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987671,0.0003559644,0.0002280193,0.00003256641,0.00000937899,0.000001997929,0.0002024577,0.00002110194,0.0003814047],"genre_scores_gemma":[0.9871724,0.0007677455,0.000650675,0.00006474546,0.000005762027,0.00002162899,0.0006784273,0.000030051,0.01060859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261327,"threshold_uncertainty_score":0.02507973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04542883784755976,"score_gpt":0.3517109289252189,"score_spread":0.3062820910776592,"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."}}