{"id":"W2913002581","doi":"10.1101/548743","title":"The international sinonasal microbiome study (ISMS): a multi-centre, multi-national collaboration characterising the microbial ecology of the sinonasal cavity","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Sinusitis and nasal conditions","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Neurological Disorders and Stroke; National Science Foundation; National Institutes of Health; Northern Arizona University; Arizona Board of Regents; AstraZeneca","keywords":"Microbiome; Human microbiome; Human Microbiome Project; Nasal cavity; Metagenomics; Relative species abundance; Abundance (ecology); Microbial ecology; Chronic rhinosinusitis","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":[0.00663298,0.0005501251,0.000763679,0.001856101,0.001387737,0.001508689,0.0005103868,0.0006311187,0.002249002],"category_scores_gemma":[0.004316245,0.0003128496,0.0005202249,0.002865538,0.0005950981,0.0005887704,0.003988581,0.000924963,0.0009266365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008483305,"about_ca_system_score_gemma":0.003302954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137119,"about_ca_topic_score_gemma":0.01441369,"domain_scores_codex":[0.9972505,0.001133538,0.0002184709,0.0005836394,0.0005173822,0.000296384],"domain_scores_gemma":[0.9943744,0.0004827605,0.001386308,0.0007953249,0.001282871,0.001678407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008126592,0.0001860705,0.9538641,0.0004222746,0.0003737019,0.0003063061,0.002220799,0.0002158853,0.007814216,0.0004013413,0.008560572,0.02482207],"study_design_scores_gemma":[0.00008436676,0.000365627,0.9837266,0.0002684435,0.0001512288,0.0005387827,0.002411299,0.0003218294,0.001039417,0.0001606588,0.01090777,0.000023887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664035,0.004011032,0.003507697,0.001533724,0.0001878171,0.0006132373,0.01762985,0.0001184473,0.005994692],"genre_scores_gemma":[0.9728174,0.001550589,0.01052894,0.0006411024,0.0002835882,0.0008352012,0.01164268,0.00009671679,0.001603842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137119,"threshold_uncertainty_score":0.035079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203436880722409,"score_gpt":0.2621001014883086,"score_spread":0.2417564134160677,"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."}}