{"id":"W2618144130","doi":"10.3389/fmicb.2017.00909","title":"Food Safety in the Age of Next Generation Sequencing, Bioinformatics, and Open Data Access","year":2017,"lang":"en","type":"review","venue":"Frontiers in Microbiology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada; University of Lethbridge","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Context (archaeology); Food safety; Data science; Data sharing; Genomics; Open data; Biotechnology; Genome; Computer science; Biology; World Wide Web; Medicine; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004343968,0.00124582,0.001514843,0.003943376,0.0007271988,0.003338527,0.002046466,0.004043879,0.003960966],"category_scores_gemma":[0.004778205,0.0004276445,0.0007627124,0.005539405,0.002697723,0.008952433,0.002724324,0.00638207,0.002402327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125983,"about_ca_system_score_gemma":0.005263401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002102542,"about_ca_topic_score_gemma":0.002227246,"domain_scores_codex":[0.9984891,0.0003763506,0.0001630524,0.000198363,0.0006395405,0.0001335637],"domain_scores_gemma":[0.9946684,0.003031376,0.0003854949,0.0002030281,0.001189041,0.0005226407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004106959,0.00005112358,0.0002415724,0.0135532,0.00008035524,0.0002569563,0.0002563097,0.0004939163,0.001653691,0.0259485,0.04981815,0.9076053],"study_design_scores_gemma":[0.000003310219,0.00002717424,0.000235488,0.00276762,0.0000255794,0.0004345784,0.0001457456,0.00008936666,0.0002975519,0.009488102,0.9864641,0.00002129479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001116448,0.9901378,0.00132616,0.004707831,0.001403881,0.00001188805,0.00003345536,0.00004447383,0.002222868],"genre_scores_gemma":[0.0005367078,0.9948404,0.00128914,0.001596504,0.00105011,0.00001165655,0.00004627275,0.00001043421,0.0006187182],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9979535,"threshold_uncertainty_score":0.02297342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2264699559781558,"score_gpt":0.3628984408560497,"score_spread":0.1364284848778939,"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."}}