{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001634377,0.000047692,0.00008132876,0.000109856,0.0001046309,0.00005963908,0.0002679435,0.00007722724,0.00002460404],"category_scores_gemma":[0.0003230545,0.00003508927,0.0000958945,0.0001255627,0.00006111198,0.00001184265,0.00003231686,0.0001244331,0.000005402337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002911816,"about_ca_system_score_gemma":0.0001935065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002226097,"about_ca_topic_score_gemma":0.00001418073,"domain_scores_codex":[0.9990799,0.0001119773,0.0003287196,0.0001092299,0.0002512282,0.0001189273],"domain_scores_gemma":[0.9980619,0.00007862179,0.000242052,0.0002413637,0.001347411,0.000028662],"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":[0.00004294287,0.00002332964,0.00003464986,0.0000290277,0.00002678835,6.967601e-8,0.00007926884,0.00002759221,0.9889074,0.0003197668,0.007416155,0.003093022],"study_design_scores_gemma":[0.0003330275,0.0005290061,0.0002053892,0.00001659571,0.000009113513,0.00001919591,0.0002621961,0.0009679168,0.9718696,0.00004061005,0.02570606,0.00004124074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912814,0.0003785825,0.00621275,0.001210478,0.000385475,0.0003253614,0.00001433678,0.000001136137,0.0001904849],"genre_scores_gemma":[0.9976466,0.0001707912,0.0007490476,0.00006571351,0.0003022983,0.000007931751,0.00002294884,0.000009046392,0.00102558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01828991,"threshold_uncertainty_score":0.1430899,"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."}}