{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006661831,0.000567276,0.0006865318,0.002402006,0.001150395,0.0011033,0.0001775981,0.0003203554,0.0003949177],"category_scores_gemma":[0.0005057397,0.0001825366,0.0006369502,0.002290076,0.0002951124,0.0002938207,0.0006585059,0.0003084804,0.000282953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320739,"about_ca_system_score_gemma":0.0007351292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01447999,"about_ca_topic_score_gemma":0.02649602,"domain_scores_codex":[0.9995292,0.0000700082,0.00002754134,0.000134346,0.0001301252,0.0001087873],"domain_scores_gemma":[0.9995667,0.00005090968,0.0000976203,0.00001976214,0.0001709604,0.00009404164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000901916,0.0002209049,0.2146928,0.0005608598,0.0002410287,0.0009454528,0.003905841,0.0008848503,0.7506492,0.0001432523,0.0004263286,0.02642761],"study_design_scores_gemma":[0.000009072989,0.0003510449,0.9711447,0.00009419893,0.0001874493,0.0008705963,0.003898698,0.001704172,0.01745592,0.00007921814,0.004169937,0.00003511594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972224,0.000588114,0.0006638151,0.00002317971,0.000006818007,0.00002366641,0.001063803,0.000009112181,0.0003990449],"genre_scores_gemma":[0.988003,0.001230642,0.004845461,0.00008393496,0.00002612594,0.00007288759,0.004612205,0.00001933384,0.001106374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01447999,"threshold_uncertainty_score":0.02879143,"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."}}