{"id":"W2896919328","doi":"10.1007/978-1-4939-8728-3_4","title":"Culture and Molecular Profiling of the Respiratory Tract Microbiota","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Microbiome; Profiling (computer programming); Biology; Computational biology; Metagenomics; Respiratory tract; 16S ribosomal RNA; Microbiology; Gene; Bioinformatics; Genetics; Respiratory system; Computer science","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":[0.0003762571,0.0005213417,0.0004459296,0.0005871897,0.0005459918,0.0007827817,0.0003477607,0.0005384286,0.001097835],"category_scores_gemma":[0.0005787053,0.0002576876,0.0004574228,0.0006559757,0.0003805709,0.000397373,0.0006212626,0.001243525,0.001386471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258725,"about_ca_system_score_gemma":0.0005047072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305818,"about_ca_topic_score_gemma":0.002320971,"domain_scores_codex":[0.9992441,0.0001419936,0.00005888689,0.0001581515,0.0002615463,0.0001353277],"domain_scores_gemma":[0.9997097,0.00006492032,0.00004494614,0.00006616517,0.00007128635,0.00004300492],"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":[0.00002705773,0.00001812566,0.0004514282,0.00001851364,0.000003226242,0.00001085415,0.00001716021,0.00004209637,0.9977921,0.00004048666,0.00003167852,0.001547329],"study_design_scores_gemma":[0.000006219463,0.0002057703,0.01774357,0.00001634247,0.00002964238,0.0001545381,0.0001098665,0.00103842,0.9774411,0.0001666728,0.003078542,0.000009336412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8678347,0.004891902,0.1024605,0.001081059,0.0002638692,0.0007036241,0.008170686,0.0003897462,0.01420392],"genre_scores_gemma":[0.8788362,0.006959894,0.09093492,0.0006210276,0.0001734164,0.0008695525,0.00878973,0.0002440412,0.01257136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305818,"threshold_uncertainty_score":0.0036726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939253505309181,"score_gpt":0.389704373323599,"score_spread":0.3703118382705072,"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."}}