{"id":"W2917272819","doi":"10.3389/fbioe.2019.00032","title":"Anadromous Arctic Char Microbiomes: Bioprospecting in the High Arctic","year":2019,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Queen's University","funders":"Ontario Ministry of Research and Innovation; Government of Canada; Government of Nunavut; Genome Canada; Ontario Genomics; Ontario Genomics Institute; Polar Knowledge Canada","keywords":"Biology; Microbiome; Proteobacteria; Arctic char; Firmicutes; Salvelinus; Fish migration; Ecology; Bacteroidetes; Zoology; Metagenomics; Salinity; 16S ribosomal RNA; Fishery; Bacteria; Habitat; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002474774,0.0002532869,0.0003453988,0.0006223826,0.0000661316,0.00002493918,0.0003915741,0.0004652725,0.00004637527],"category_scores_gemma":[0.0000294429,0.0001924856,0.00005284493,0.0006447976,0.000207208,0.0000602641,0.0001223337,0.0005736256,0.00007207935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009395432,"about_ca_system_score_gemma":0.000008836888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003653723,"about_ca_topic_score_gemma":0.00005449451,"domain_scores_codex":[0.9986746,0.00003747942,0.0002702365,0.0004509714,0.00002617442,0.0005405097],"domain_scores_gemma":[0.9995315,0.00002690579,0.00006373329,0.000351533,0.00001318848,0.00001311775],"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":[0.000147534,0.0003628425,0.1549033,0.0006283247,0.0003610883,0.0001489099,0.001936473,0.00007487679,0.8165893,0.01074468,0.002964411,0.0111383],"study_design_scores_gemma":[0.02376258,0.00226473,0.3070516,0.002254114,0.0005118492,0.002242659,0.03806006,0.000937888,0.1433762,0.007551413,0.4663877,0.005599243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862507,0.009486803,0.000296275,0.001975239,0.001280489,0.0005212898,0.00001723315,0.000125977,0.00004602417],"genre_scores_gemma":[0.9980323,0.0005180685,0.0006742834,0.0001745193,0.00001644993,0.00002260872,0.00007993396,0.00001868133,0.0004631265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6732131,"threshold_uncertainty_score":0.7849334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003070098424383825,"score_gpt":0.1734765992021316,"score_spread":0.1704065007777478,"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."}}