{"id":"W2613206128","doi":"10.1021/acs.est.7b00894","title":"How Does Reference Site Selection Influence Interpretation of Omics Data?: Evaluating Liver Transcriptome Responses in Male Rainbow Darter (<i>Etheostoma caeruleum</i>) across an Urban Environment","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Canadian Water Network; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Environment and Climate Change Canada; University of Florida","keywords":"Etheostoma; Transcriptome; Biology; Watershed; Fish <Actinopterygii>; Selection (genetic algorithm); Fishery; Genetics; Gene; Computer science; Gene expression","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":[0.001571768,0.0002996938,0.0004428335,0.000447805,0.0006105216,0.001083998,0.0004266572,0.0004331564,0.0005512502],"category_scores_gemma":[0.001634845,0.0002456274,0.0003247373,0.0006985259,0.0006972436,0.0003509145,0.0006737923,0.0002369724,0.0002427132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007555471,"about_ca_system_score_gemma":0.0007362496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719286,"about_ca_topic_score_gemma":0.07318307,"domain_scores_codex":[0.998773,0.0003077749,0.00007367804,0.000378708,0.0003691555,0.00009754614],"domain_scores_gemma":[0.9990753,0.0002340924,0.0002242508,0.0001178515,0.0003009425,0.0000475403],"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":[0.000336125,0.00003618729,0.1773177,0.0001657577,0.0001819112,0.0001492977,0.0004333039,0.0005257329,0.8068408,0.00008832531,0.0003377039,0.01358721],"study_design_scores_gemma":[0.00001470029,0.0001862957,0.8982312,0.00002737439,0.0001548332,0.00020095,0.0006795374,0.001675188,0.09563077,0.0001505072,0.003016111,0.00003248279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883636,0.0005253929,0.009105174,0.0001422527,0.00002290873,0.00005378709,0.0009574304,0.00005992378,0.0007695048],"genre_scores_gemma":[0.9850944,0.0003504702,0.01130707,0.0004312611,0.00001354087,0.00008700858,0.001842819,0.00009267032,0.000780843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719286,"threshold_uncertainty_score":0.03418553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893813211957882,"score_gpt":0.2810996309845198,"score_spread":0.262161498864941,"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."}}