{"id":"W4385969415","doi":"10.1093/database/baad055","title":"Tissue-specific transcriptomes reveal potential mechanisms of microbiome heterogeneity in an ancient fish","year":2023,"lang":"en","type":"article","venue":"Database","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Manitoba Hydro","keywords":"Biology; Transcriptome; Vertebrate; Cecum; Microbiome; De novo transcriptome assembly; Sturgeon; Model organism; Gene; Zoology; Evolutionary biology; Genetics; Fish <Actinopterygii>; Gene expression; Ecology; Fishery","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":[0.0002212147,0.0001847483,0.0002605794,0.0005643723,0.000315008,0.0003601175,0.0001419696,0.0003089716,0.0007908236],"category_scores_gemma":[0.0003534125,0.0002480824,0.0003268793,0.0004624029,0.0003317827,0.0003592195,0.0005481147,0.000310203,0.0002403262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044675,"about_ca_system_score_gemma":0.0002126084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041916,"about_ca_topic_score_gemma":0.003121692,"domain_scores_codex":[0.9998637,0.00001088027,0.000008983646,0.00006618767,0.00002536412,0.00002488634],"domain_scores_gemma":[0.9998465,0.00004010168,0.00004531704,0.00001635954,0.00003073067,0.00002106564],"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":[0.00009125115,0.00000780611,0.02195989,0.0000763112,0.00002990745,0.0001171704,0.0004025272,0.0002227992,0.9729759,0.0001743577,0.00008691988,0.003855158],"study_design_scores_gemma":[0.000008010255,0.000163456,0.9619466,0.00002917861,0.00009267301,0.0004382323,0.0005492392,0.002479032,0.03079851,0.0005337197,0.002935228,0.00002603345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951125,0.0003302956,0.003019999,0.00004851515,0.000007007071,0.000006193952,0.0007800873,0.00004483039,0.0006507166],"genre_scores_gemma":[0.991977,0.0002313862,0.004247328,0.0001358866,0.000009603586,0.00003466117,0.002268512,0.00004360822,0.001051945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001041916,"threshold_uncertainty_score":0.002645612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023523564965305,"score_gpt":0.301542939625528,"score_spread":0.278019374660223,"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."}}