{"id":"W2954168306","doi":"10.1186/s13104-019-4409-7","title":"Co-administration of a Rhododendron tomentosum extract does not affect mercury tissue concentrations and excretion rate in methylmercury-treated adult male rats","year":2019,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"Health Canada","keywords":"Methylmercury; Mercury (programming language); Feces; Excretion; Physiology; Urine; Weaning; Toxicokinetics; Chemistry; Animal science; Endocrinology; Biology; Toxicology; Bioaccumulation; Environmental chemistry; Metabolism; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001714834,0.0008654193,0.0006738963,0.0006462239,0.0002498087,0.0003329425,0.0004646801,0.0006729112,0.002528227],"category_scores_gemma":[0.0002194906,0.0002787154,0.0005553704,0.0002714907,0.0004840336,0.0003525562,0.0003064733,0.001128256,0.0008911212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713077,"about_ca_system_score_gemma":0.0005253009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130009,"about_ca_topic_score_gemma":0.003524237,"domain_scores_codex":[0.9997035,0.00003000174,0.00002206766,0.00009209435,0.00007038515,0.00008190377],"domain_scores_gemma":[0.9994299,0.00004214959,0.000195782,0.00008957223,0.00006253484,0.0001800731],"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":[0.002042181,0.0004843383,0.0005235854,0.00005672049,0.00002736955,0.00009383279,0.00003893107,0.00004175627,0.9945117,0.00002545404,0.00007056347,0.002083478],"study_design_scores_gemma":[0.00005992038,0.00724264,0.01097397,0.00001346116,0.0001031434,0.0001967958,0.0001398795,0.0002522263,0.9788346,0.0000440974,0.002118726,0.00002046913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965611,0.0007665644,0.0008735225,0.0001452662,0.00007240054,0.0000323532,0.000614587,0.0001568428,0.0007773943],"genre_scores_gemma":[0.9833083,0.001312685,0.002184097,0.0001421457,0.00002903769,0.0001252745,0.00117391,0.00007176377,0.01165276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002528227,"threshold_uncertainty_score":0.00845772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07591589888467572,"score_gpt":0.4021622411666221,"score_spread":0.3262463422819464,"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."}}