{"id":"W2982504733","doi":"10.1186/s40168-019-0755-x","title":"Microbiota analysis optimization for human bronchoalveolar lavage fluid","year":2019,"lang":"en","type":"article","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; University Health Network","keywords":"Bronchoalveolar lavage; Biology; 16S ribosomal RNA; Computational biology; Genetics; Gene; Lung; Medicine; Internal medicine","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":[0.002767398,0.001262386,0.0009650886,0.001381225,0.000528854,0.001322654,0.0006871838,0.0009794716,0.001435816],"category_scores_gemma":[0.004818825,0.0004096575,0.0008582801,0.0007764591,0.0004634373,0.0005109055,0.001237846,0.0008097332,0.001965897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006131814,"about_ca_system_score_gemma":0.001327218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023,"about_ca_topic_score_gemma":0.003040421,"domain_scores_codex":[0.9966717,0.000745356,0.0001936677,0.0005472811,0.001659496,0.000182584],"domain_scores_gemma":[0.9981977,0.000445443,0.0002139552,0.0001031885,0.0009555287,0.00008418743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005455406,0.0001537772,0.01033986,0.0006249225,0.00008071791,0.0001602886,0.0001251801,0.002273216,0.9371591,0.0001149257,0.0007764443,0.04764588],"study_design_scores_gemma":[0.00003882185,0.001251821,0.02836142,0.0002157497,0.0001682142,0.0009172576,0.0002700626,0.02490515,0.9289001,0.0006727126,0.01422138,0.00007730733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5304652,0.0135437,0.4394742,0.001496257,0.0003313049,0.001690062,0.00604858,0.003371318,0.003579409],"genre_scores_gemma":[0.5915867,0.006388121,0.3875047,0.0008903617,0.00017952,0.001721571,0.008032989,0.0005582538,0.003137791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002767398,"threshold_uncertainty_score":0.01463556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005469925355109173,"score_gpt":0.2562560856112259,"score_spread":0.2507861602561167,"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."}}