{"id":"W4386316758","doi":"10.1002/9781119862611.ch12","title":"Aural Microbiome","year":2023,"lang":"en","type":"other","venue":"","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microbiome; Diversity (politics); Biology; Function (biology); Medicine; Immunology; Evolutionary biology; Bioinformatics","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":[0.0009474461,0.0003295392,0.0004146427,0.001779519,0.0007000407,0.001573771,0.0003154369,0.0006028926,0.01672096],"category_scores_gemma":[0.002961961,0.0001700518,0.0004581498,0.001275748,0.0004352543,0.001282572,0.001175898,0.0004784354,0.003270578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006530993,"about_ca_system_score_gemma":0.000898872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005507892,"about_ca_topic_score_gemma":0.01170178,"domain_scores_codex":[0.9992799,0.0002013594,0.00006676283,0.0001474084,0.000221579,0.00008306891],"domain_scores_gemma":[0.998858,0.0002087221,0.0003565114,0.00006642351,0.0003539782,0.0001564222],"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":[0.0006502601,0.0002043178,0.2607413,0.005582761,0.0002962064,0.001184091,0.001759554,0.0002729566,0.009778844,0.003381245,0.05586759,0.6602808],"study_design_scores_gemma":[0.00002697091,0.0004162446,0.4678145,0.00503846,0.0003267481,0.007228337,0.003614482,0.000366154,0.002456961,0.00255354,0.5100989,0.00005866992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4638236,0.2424721,0.009666193,0.01411328,0.001729095,0.0007140219,0.04084263,0.0005062615,0.2261328],"genre_scores_gemma":[0.8119628,0.1201038,0.01160984,0.005456027,0.0008548411,0.0004595561,0.01833491,0.000178085,0.03104002],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01672096,"threshold_uncertainty_score":0.05593717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227679957151603,"score_gpt":0.2607995069626391,"score_spread":0.2485227073911231,"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."}}