{"id":"W3185396496","doi":"10.33137/juls.v15i1.36811","title":"Mice, Models, Microbiota: How Can We More Accurately Reflect Human Disease?","year":2021,"lang":"en","type":"article","venue":"Journal of Undergraduate Life Sciences","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Microbiome; Human microbiome; Disease; Biology; Transplantation; Fecal bacteriotherapy; Human disease; Specific-pathogen-free; Immunology; Human Microbiome Project; Gut flora; Computational biology; Bioinformatics; Medicine; Genetics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01201123,0.001773451,0.002371135,0.001701103,0.0006815737,0.004778008,0.001800998,0.002566991,0.002534337],"category_scores_gemma":[0.01161306,0.0007158642,0.0008239481,0.001005304,0.003334781,0.006755086,0.001765706,0.008060367,0.001504615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119798,"about_ca_system_score_gemma":0.001898229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506996,"about_ca_topic_score_gemma":0.00194051,"domain_scores_codex":[0.9949588,0.003082632,0.0003901659,0.0005078581,0.0008764822,0.0001840042],"domain_scores_gemma":[0.9944872,0.002181809,0.0009183938,0.001214167,0.000704077,0.0004942924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002566044,0.001677619,0.03580858,0.01015281,0.001698902,0.001133886,0.002175731,0.00471757,0.3030551,0.1906938,0.1229599,0.3233602],"study_design_scores_gemma":[0.0004596042,0.003506783,0.01574124,0.004743631,0.001576004,0.003149322,0.001782972,0.004158739,0.05064453,0.1403568,0.7734757,0.0004046744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08235382,0.3830207,0.3544002,0.1296953,0.01646462,0.0008422064,0.005853176,0.003306773,0.02406323],"genre_scores_gemma":[0.2239874,0.3542129,0.3389329,0.05645141,0.004091939,0.003587795,0.004553301,0.001922839,0.01225962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01201123,"threshold_uncertainty_score":0.06352222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06501199190173397,"score_gpt":0.3371330602342986,"score_spread":0.2721210683325646,"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."}}