{"id":"W2084719079","doi":"10.1016/j.aquatox.2014.01.008","title":"Enabling comparative gene expression studies of thyroid hormone action through the development of a flexible real-time quantitative PCR assay for use across multiple anuran indicator and sentinel species","year":2014,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; University of Victoria; Northern Arizona University","keywords":"Biology; Sentinel species; Xenopus; Transcriptome; Amphibian; Gene; Developmental biology; Thyroid; Gene expression; Computational biology; Evolutionary biology; Ecology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005369728,0.0002018911,0.000541261,0.00006216519,0.0003572164,0.00001169696,0.0001575563,0.0001462101,0.0000230854],"category_scores_gemma":[0.0003076282,0.0001351557,0.00007429429,0.0001094721,0.0006481993,0.000133881,0.0001779503,0.0001004495,0.00002273871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003020675,"about_ca_system_score_gemma":0.00003235307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000270575,"about_ca_topic_score_gemma":0.00007334977,"domain_scores_codex":[0.9985344,0.0003194649,0.0005040066,0.00030279,0.00004343104,0.0002958404],"domain_scores_gemma":[0.9975072,0.001649991,0.0005178821,0.0002040863,0.0001054163,0.00001542003],"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":[0.0005917655,0.0001982509,0.0006039848,0.00005132085,0.0006544124,1.899333e-7,0.03916729,0.000006267588,0.9532939,0.0007288473,0.004354388,0.00034936],"study_design_scores_gemma":[0.002879109,0.0004317805,0.01215628,0.00005494607,0.0001467273,0.000002654497,0.03369703,0.00007771115,0.9446307,0.0002062628,0.005511775,0.0002050685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829072,0.001956267,0.0139891,0.0001117166,0.000139468,0.0007504071,0.00004400621,0.00002788878,0.00007392072],"genre_scores_gemma":[0.9890262,0.0002068747,0.009479551,0.00005477838,0.00001754905,0.0001024577,0.0001573402,0.00001199595,0.0009432448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01155229,"threshold_uncertainty_score":0.5511491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098606786345843,"score_gpt":0.3518558448185466,"score_spread":0.2419951661839623,"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."}}