{"id":"W2789813995","doi":"10.1016/j.ygcen.2018.02.012","title":"Metabolomic insights into the effects of thyroid hormone on Rana [Lithobates] catesbeiana metamorphosis using whole-body Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI)","year":2018,"lang":"en","type":"article","venue":"General and Comparative Endocrinology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital; University of Victoria; Genome British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Alberta; Jewish General Hospital; Leading Edge Endowment Fund; Genome British Columbia; McGill University; University of Victoria; Compute Canada; Genome Canada","keywords":"Metamorphosis; Biology; Tadpole (physics); Mass spectrometry imaging; Internal medicine; Rana; Bullfrog; Endocrinology; Deiodinase; Lithobates; Metabolomics; Hormone; Mass spectrometry; Thyroid hormones; Ecology; Larva; Bioinformatics; Chemistry; Chromatography","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":[0.00008244973,0.0003353883,0.0001704534,0.0004779848,0.0003287886,0.0003222893,0.0001349122,0.0002237779,0.0009685276],"category_scores_gemma":[0.00005512548,0.0001686497,0.0002062142,0.0002906944,0.0002490216,0.0002447975,0.0001624457,0.0003485564,0.0001377781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003111808,"about_ca_system_score_gemma":0.0002888244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006329197,"about_ca_topic_score_gemma":0.02113458,"domain_scores_codex":[0.9999471,0.000003555002,0.000002325478,0.00002493731,0.00001220809,0.000009885729],"domain_scores_gemma":[0.9999458,0.00000466754,0.0000146225,0.000003810748,0.00001907822,0.00001202029],"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":[0.0001178513,0.000008432962,0.001601689,0.00002231588,0.00001228663,0.00002250502,0.00002482387,0.00002932002,0.9969783,0.00003064032,0.00002258612,0.001129179],"study_design_scores_gemma":[0.00002314325,0.0004135724,0.513778,0.00001599141,0.0001423853,0.0004519351,0.0003110219,0.001772281,0.4803565,0.0001721586,0.002525402,0.00003757983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952904,0.0009290091,0.001465583,0.00007717103,0.000008409505,0.00001473821,0.001210707,0.00004397845,0.0009599339],"genre_scores_gemma":[0.9918372,0.0007488303,0.003165724,0.000138554,0.00000710428,0.00002524568,0.001335046,0.00002696359,0.002715266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006329197,"threshold_uncertainty_score":0.01258475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840432239148087,"score_gpt":0.2606229407677303,"score_spread":0.2422186183762494,"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."}}