{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004609351,0.0002190564,0.000346701,0.00006642473,0.0003502154,0.00002175593,0.0002209116,0.0000450141,0.0001221387],"category_scores_gemma":[0.00003164696,0.0001306826,0.00007678234,0.000507865,0.0008632769,0.0001054304,0.0001645989,0.0001518426,0.00008238796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006442802,"about_ca_system_score_gemma":0.000009057414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003613878,"about_ca_topic_score_gemma":0.00003601126,"domain_scores_codex":[0.9986214,0.0002416139,0.0002644793,0.00040195,0.0001574031,0.0003131378],"domain_scores_gemma":[0.9993446,0.0001996495,0.0001452818,0.0001909792,0.00003937133,0.00008012573],"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":[0.00007599512,0.0001005495,0.0009870182,0.000004074254,0.00006405853,0.000003945073,0.0002222776,0.0002549103,0.9961603,0.001629431,0.0002455437,0.0002519146],"study_design_scores_gemma":[0.0007259666,0.0004552294,0.124075,0.000008872365,0.0001147581,0.00001357415,0.0001445496,0.01031684,0.8556814,0.007640259,0.0005704372,0.000253152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959307,0.001585009,0.001415889,0.0003090571,0.000100171,0.0002190899,0.00000605027,0.00002800164,0.0004060593],"genre_scores_gemma":[0.9960518,0.0001244404,0.003191579,0.0002784245,0.00009924067,0.00002357938,0.00002206555,0.000006496948,0.0002023277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1404789,"threshold_uncertainty_score":0.5329083,"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."}}