{"id":"W2955591052","doi":"10.5539/jfr.v8n4p101","title":"Next Generation Sequencing (NGS) for the Determination of Fish Flesh Microbiota","year":2019,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; National Technical University of Athens; National and Kapodistrian University of Athens; KU Leuven; Fonds Wetenschappelijk Onderzoek","keywords":"Biology; Aeromonas; Vibrio; Food spoilage; Flavobacterium; Moraxella; Shewanella; Microbiology; Micrococcus; Acinetobacter; Lactobacillus; Proteobacteria; Pseudomonas; Bacteria; 16S ribosomal RNA; Antibiotics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008157336,0.0004409216,0.0003927856,0.001863761,0.0002867822,0.0005081594,0.0002138119,0.0006874891,0.0007826348],"category_scores_gemma":[0.001190477,0.0002041319,0.0004870944,0.0008411422,0.0002192591,0.0003234057,0.0004847312,0.0004448667,0.0005164825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396945,"about_ca_system_score_gemma":0.0004083009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642473,"about_ca_topic_score_gemma":0.003017341,"domain_scores_codex":[0.9992206,0.0002290089,0.00006883809,0.0002176321,0.0002123005,0.00005162259],"domain_scores_gemma":[0.9994647,0.0001503729,0.00015718,0.00006194144,0.000126869,0.00003893855],"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":[0.0002902741,0.0001118371,0.03306371,0.0005947705,0.000196883,0.0003828015,0.0003648598,0.001746661,0.8784999,0.0004627287,0.0006474218,0.08363817],"study_design_scores_gemma":[0.00007266082,0.001610407,0.3340109,0.000494475,0.0005192496,0.002823736,0.001314497,0.058599,0.5554596,0.00468153,0.04025181,0.0001622017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8003381,0.01085177,0.1704281,0.0005407645,0.0002538767,0.0004872672,0.0101876,0.0009439369,0.005968642],"genre_scores_gemma":[0.7175537,0.004053629,0.2655687,0.0006972662,0.00007627158,0.0003606134,0.007163362,0.0001019957,0.00442442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001863761,"threshold_uncertainty_score":0.004314065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1995186366476591,"score_gpt":0.3880943669390684,"score_spread":0.1885757302914093,"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."}}