{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386285,0.0001680614,0.0001877229,0.0002411302,0.00004978352,0.00002229699,0.0003672585,0.0001512465,0.00006554029],"category_scores_gemma":[0.00002089311,0.0001858723,0.00008225797,0.0004893002,0.00007078233,0.00001171335,0.0002077555,0.0001394093,0.00002981522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002992196,"about_ca_system_score_gemma":0.0000791178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000486819,"about_ca_topic_score_gemma":0.0002101615,"domain_scores_codex":[0.9982972,0.0001292573,0.0002856277,0.0005702747,0.0002757735,0.0004418794],"domain_scores_gemma":[0.9989901,0.000004269889,0.00005541473,0.0007283725,0.00008167933,0.000140207],"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":[0.0001519518,0.000115937,0.000008201648,0.00004283575,0.00001862695,0.00009434587,0.00002769517,0.0001168315,0.9929861,0.00006597459,0.004460803,0.00191072],"study_design_scores_gemma":[0.0008168695,0.0002969941,0.000501443,0.00002164289,0.000007882017,0.000023567,0.00004854803,0.0001036038,0.9857905,0.00003431059,0.01216618,0.0001884667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604183,0.0003117544,0.03571287,0.00009623162,0.0002972952,0.000390504,0.00271913,0.00002985941,0.00002402189],"genre_scores_gemma":[0.9908984,0.0003106164,0.00127095,0.0001560167,0.00007831414,0.00003955343,0.007071914,0.00004167244,0.0001325701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03444192,"threshold_uncertainty_score":0.7579653,"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."}}