{"id":"W2551357364","doi":"10.1021/acs.est.6b03602","title":"In Vivo Biotransformation Rates of Organic Chemicals in Fish: Relationship with Bioconcentration and Biomagnification Factors","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biotransformation; Bioaccumulation; Bioconcentration; Biomagnification; Environmental chemistry; Chemistry; Bioavailability; In vivo; Biochemistry; Biology; Biotechnology; Pharmacology","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":[0.0005255701,0.0003917952,0.000224157,0.0005313949,0.0002165473,0.0003833101,0.0001777217,0.0005017522,0.0009923948],"category_scores_gemma":[0.001680479,0.0002677821,0.0003577858,0.0003689887,0.0003560151,0.0003418788,0.0002662402,0.0005536334,0.0003394655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007702998,"about_ca_system_score_gemma":0.000486346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008517647,"about_ca_topic_score_gemma":0.007241668,"domain_scores_codex":[0.9996473,0.00005786197,0.00004108165,0.0001035181,0.000100219,0.00005007054],"domain_scores_gemma":[0.9986388,0.0003808044,0.0004429022,0.0001230104,0.000301987,0.0001125254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002692089,0.0000383316,0.02401103,0.00005743427,0.00003857246,0.00004071997,0.000116813,0.001059141,0.9690405,0.00006832826,0.00004782735,0.005212236],"study_design_scores_gemma":[0.00001098028,0.0009145815,0.1233853,0.00001063888,0.00005964801,0.00017129,0.0001281793,0.002627552,0.8715563,0.0001177416,0.0009907216,0.00002700606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942598,0.0002774977,0.003487634,0.00005082464,0.000003659427,0.00003349065,0.0004705474,0.00002994365,0.001386568],"genre_scores_gemma":[0.9944425,0.0003625457,0.002380289,0.00004598778,0.000002350134,0.00005920387,0.0004364631,0.00001894841,0.002251701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008517647,"threshold_uncertainty_score":0.01693612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006455491739321895,"score_gpt":0.2679115271730656,"score_spread":0.2614560354337437,"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."}}