{"id":"W2227119531","doi":"10.1513/annalsats.201510-711le","title":"Reply: Metabolomics and Mycobacterial Disease: Don’t Forget the Bioinformatics","year":2016,"lang":"en","type":"letter","venue":"Annals of the American Thoracic Society","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Metabolomics; Disease; Bioinformatics; Computational biology; Internal medicine; Biology","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":[0.006231103,0.001093877,0.002041847,0.001064535,0.003940388,0.004430762,0.002014856,0.06008803,0.005884535],"category_scores_gemma":[0.0422729,0.001038447,0.001519295,0.0007193948,0.004386431,0.006551395,0.003296189,0.06896979,0.00728738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462932,"about_ca_system_score_gemma":0.004244033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003490645,"about_ca_topic_score_gemma":0.005144641,"domain_scores_codex":[0.9951071,0.001524226,0.000733926,0.0006842371,0.001371881,0.000578653],"domain_scores_gemma":[0.9808607,0.0100183,0.00133148,0.0007675886,0.003932374,0.003089539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000478499,0.00003330438,0.0006151456,0.00004567833,0.00002311642,0.0005514898,0.00008175046,0.00003275904,0.0001075644,0.0009944193,0.9930856,0.004381291],"study_design_scores_gemma":[0.0003408346,0.0001235444,0.001976992,0.0005550862,0.00008661868,0.002296162,0.0007507355,0.0005608864,0.0003456362,0.01633151,0.97646,0.0001720851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000092894,0.0009008152,0.00007482345,0.9803128,0.01823314,0.000004593635,0.00003388651,0.0000165915,0.0003304048],"genre_scores_gemma":[0.0009869324,0.0006425421,0.00014195,0.9627836,0.03381841,0.00001722334,0.00001779065,0.00001291367,0.001578683],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06008803,"threshold_uncertainty_score":0.03295362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0357417983753717,"score_gpt":0.3228359737278933,"score_spread":0.2870941753525216,"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."}}