{"id":"W3207303449","doi":"10.22541/au.158801945.58822703","title":"The effects of host genetic architecture on the gut microbiome composition of Chinook salmon (Oncorhynchus tshawytscha)","year":2020,"lang":"en","type":"dataset","venue":"Authorea","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Biology; Microbiome; Oncorhynchus; Population; Chinook wind; Host (biology); Zoology; Ecology; Genetics; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001664784,0.0003382796,0.0003779289,0.00005667926,0.0001784012,0.00002143795,0.0006786814,0.0004185166,0.000008911671],"category_scores_gemma":[0.00008242563,0.000203548,0.0002290531,0.0001273932,0.0002724633,8.074315e-7,0.0002148702,0.0004511724,0.0000299929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000171915,"about_ca_system_score_gemma":0.0001560806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009182558,"about_ca_topic_score_gemma":0.00007109666,"domain_scores_codex":[0.9984147,0.0002975877,0.0004023504,0.0004162972,0.0001673976,0.0003016983],"domain_scores_gemma":[0.9983248,0.0001767167,0.0004471374,0.0009044617,0.00006474947,0.00008215419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009429402,0.00004516812,0.000005323741,0.0003867911,0.00007779255,0.000003644879,0.0000276327,0.000001880326,0.507862,0.00001069231,0.4912383,0.0002465548],"study_design_scores_gemma":[0.0004001718,0.001402847,0.003992123,0.0003234279,0.0001431905,0.00003649533,0.00001120361,0.000001491105,0.247126,0.000043416,0.7462517,0.0002679466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09709683,0.002757084,0.00004510915,0.001111939,0.0004684071,0.001150946,0.8973042,0.000009179555,0.00005631146],"genre_scores_gemma":[0.1107672,0.002398685,0.0001071154,0.0009864991,0.0004450631,0.00004065053,0.8851351,0.00004651918,0.0000732043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2607359,"threshold_uncertainty_score":0.8300445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005654386136541969,"score_gpt":0.2379460345204345,"score_spread":0.2322916483838925,"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."}}