{"id":"W2495823882","doi":"10.1016/j.envres.2016.07.006","title":"In vivo tissue sampling using solid-phase microextraction for non-lethal exposome-wide association study of CYP1A1 induction in Catostomus commersonii","year":2016,"lang":"en","type":"article","venue":"Environmental Research","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"Environment Canada; University of Waterloo","keywords":"Exposome; In vivo; Solid-phase microextraction; Catostomus; Environmental chemistry; Toxicant; Chemistry; Biomonitoring; Biology; Toxicology; Physiology; Chromatography; Fish <Actinopterygii>; Pathology; Toxicity; Mass spectrometry; Medicine; Gas chromatography–mass spectrometry; Biotechnology","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":[0.0001459863,0.0004122714,0.0002714624,0.0003895948,0.0003097665,0.0003005266,0.0002098649,0.0003905486,0.000712389],"category_scores_gemma":[0.0001501055,0.0002045715,0.0003474582,0.0003159184,0.0002099708,0.0001679127,0.0002684178,0.0003384179,0.0002308256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004433818,"about_ca_system_score_gemma":0.000357541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00774631,"about_ca_topic_score_gemma":0.01962345,"domain_scores_codex":[0.9997992,0.00001592734,0.000008083962,0.0001084653,0.00004292535,0.00002548224],"domain_scores_gemma":[0.9998769,0.00002810133,0.00003572444,0.00001728091,0.00002280678,0.00001925166],"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":[0.0001246786,0.00002363882,0.003777112,0.00001242803,0.000008155954,0.00001444267,0.00002521298,0.00005135898,0.995119,0.00001073874,0.00001656776,0.0008166773],"study_design_scores_gemma":[0.0000288177,0.001323968,0.3602668,0.000005866844,0.0001301803,0.0001725404,0.0002094182,0.001767855,0.6340189,0.0000791947,0.001971849,0.00002467199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960901,0.0001937162,0.002272429,0.000033126,0.000009413514,0.00003927478,0.0008397571,0.00002885107,0.0004933766],"genre_scores_gemma":[0.9924518,0.0001926301,0.002293358,0.00007049775,0.000004647144,0.00007840823,0.001427439,0.00001452549,0.003466573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00774631,"threshold_uncertainty_score":0.01540244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0841671129973426,"score_gpt":0.4283340294150078,"score_spread":0.3441669164176652,"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."}}