{"id":"W3016231335","doi":"10.3389/fcimb.2020.00137","title":"Microbiotyping the Sinonasal Microbiome","year":2020,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"Sinusitis and nasal conditions","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Microbiome; Moraxella; Biology; Sinus (botany); Human microbiome; Computational biology; Human Microbiome Project; Microbiology; Bioinformatics; Bacteria; Genetics; Ecology","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":[0.000773197,0.0005025081,0.0006258959,0.001422192,0.0004884106,0.001040916,0.000260147,0.0004004761,0.0007347304],"category_scores_gemma":[0.001402219,0.000165579,0.0007674982,0.001028641,0.0002405358,0.0004159487,0.000849486,0.0004263707,0.0005333503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002116285,"about_ca_system_score_gemma":0.0006941037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695542,"about_ca_topic_score_gemma":0.003705061,"domain_scores_codex":[0.9992985,0.0002651176,0.00005580347,0.0001933759,0.0001303711,0.0000569169],"domain_scores_gemma":[0.999576,0.0001293449,0.0001000351,0.00008444996,0.00007718865,0.00003283438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006338119,0.0002624852,0.3622786,0.0009070498,0.0003584581,0.0004345102,0.0007670799,0.01910495,0.2524041,0.002254739,0.003126435,0.3574678],"study_design_scores_gemma":[0.00008268354,0.0008392637,0.5639916,0.0003562086,0.0002707781,0.003620932,0.001856788,0.2893103,0.07065463,0.01183554,0.0569793,0.0002019689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6323612,0.003861889,0.3492467,0.0004724574,0.000143905,0.0004020637,0.009382864,0.000640286,0.003488681],"genre_scores_gemma":[0.699225,0.00183268,0.2870548,0.0002268252,0.0001068516,0.0003486307,0.01003374,0.0000832691,0.001088174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001695542,"threshold_uncertainty_score":0.004089057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214221673032719,"score_gpt":0.2208031792534534,"score_spread":0.2086609625231262,"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."}}