{"id":"W4256710687","doi":"10.7287/peerj.preprints.26969","title":"Microbial Evolutionary Medicine – from theory to clinical practice","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Microbiome; Context (archaeology); Human microbiome; Disease; Human medicine; Human health; Human disease; Antibiotic resistance; Biology; Infectious disease (medical specialty); Biotechnology; Medicine; Antibiotics; Microbiology; Bioinformatics; Environmental health; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.01449202,0.001162014,0.001790126,0.003546825,0.001634438,0.007373136,0.003072159,0.005837866,0.006543402],"category_scores_gemma":[0.03155946,0.0005361552,0.0008552032,0.001427598,0.01579765,0.009006718,0.005584491,0.009983668,0.002080311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003515597,"about_ca_system_score_gemma":0.005076168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759198,"about_ca_topic_score_gemma":0.001221278,"domain_scores_codex":[0.9937831,0.004035254,0.0003398159,0.0007225517,0.0009180814,0.0002011628],"domain_scores_gemma":[0.9827341,0.01228945,0.0006356648,0.001530222,0.001580157,0.001230423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001359648,0.0002009641,0.003944471,0.003065337,0.0002873581,0.0009291642,0.002606598,0.004199652,0.000858216,0.5722219,0.06806058,0.3434898],"study_design_scores_gemma":[0.00003566077,0.00008297863,0.00061638,0.002265714,0.00002800044,0.0005486344,0.001056237,0.002207221,0.0002898695,0.8499148,0.14291,0.00004437775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004623584,0.4043091,0.1057405,0.4427375,0.01108543,0.0001334868,0.0001860408,0.0003665823,0.03081778],"genre_scores_gemma":[0.2057483,0.5315071,0.145641,0.0741442,0.03251769,0.0005866639,0.0002681262,0.0003613374,0.009225687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01449202,"threshold_uncertainty_score":0.07664204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054044918877854,"score_gpt":0.3911442204886771,"score_spread":0.3606037712998986,"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."}}