{"id":"W3112222532","doi":"10.1128/msphere.00562-20","title":"Nasal Tissue Extraction Is Essential for Characterization of the Murine Upper Respiratory Tract Microbiota","year":2020,"lang":"en","type":"article","venue":"mSphere","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute; McMaster University Medical Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Government of Canada","keywords":"Respiratory tract; Extraction (chemistry); Respiratory system; Medicine; Biology; Microbiology; Chemistry; Anatomy; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00111205,0.001396957,0.000816414,0.001744954,0.0009553359,0.0007384454,0.0006352403,0.001140294,0.007850001],"category_scores_gemma":[0.0009444719,0.0006418983,0.00101936,0.0007304425,0.000656087,0.0006395826,0.0006992096,0.001999576,0.00755996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515861,"about_ca_system_score_gemma":0.0006265145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006259826,"about_ca_topic_score_gemma":0.002181503,"domain_scores_codex":[0.998923,0.000131453,0.0001534235,0.0002633518,0.0003065505,0.0002222817],"domain_scores_gemma":[0.9988751,0.0002504255,0.0001375213,0.0003164503,0.0002733984,0.0001470856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001162637,0.00006377226,0.0004753982,0.0001322857,0.00001195002,0.0003197063,0.00005065502,0.00004135754,0.9942908,0.0002821008,0.0003328182,0.003882809],"study_design_scores_gemma":[0.00007811533,0.0007654431,0.01327143,0.0001890439,0.00008730973,0.002069925,0.0001777879,0.001066435,0.9256896,0.0006475843,0.05592137,0.00003584517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3528833,0.01317146,0.5471821,0.001820813,0.002955197,0.01158487,0.0286582,0.004498087,0.03724599],"genre_scores_gemma":[0.3805272,0.01188726,0.52285,0.002377616,0.0007164329,0.01092083,0.04129047,0.001731861,0.0276983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007850001,"threshold_uncertainty_score":0.02626085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299118713061353,"score_gpt":0.2743434510896914,"score_spread":0.2613522639590779,"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."}}