{"id":"W2261083168","doi":"10.1007/s11306-016-0966-0","title":"Metabolic and transcriptomic profiling of Streptococcus intermedius during aerobic and anaerobic growth","year":2016,"lang":"en","type":"article","venue":"Metabolomics","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Streptococcus intermedius; Profiling (computer programming); Anaerobic exercise; Biology; Computational biology; Transcriptome; Bioinformatics; Streptococcus; Genetics; Physiology; Gene; Computer science; Bacteria; Gene expression","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":[0.0001635544,0.0003880889,0.000468827,0.0006035624,0.0003133,0.0004860856,0.0001347393,0.0002973129,0.001013431],"category_scores_gemma":[0.0002662991,0.0001475384,0.0003175164,0.0009061076,0.0002493162,0.0002717545,0.0003253282,0.0003203414,0.0003317498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881363,"about_ca_system_score_gemma":0.0003564184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001860364,"about_ca_topic_score_gemma":0.002094591,"domain_scores_codex":[0.999786,0.00002581594,0.00001327671,0.00005092896,0.00006650317,0.00005754739],"domain_scores_gemma":[0.9998834,0.00002682368,0.0000271759,0.000006369743,0.00003282957,0.00002344709],"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":[0.0009097138,0.00003537268,0.003534341,0.00006097243,0.00001188469,0.00007363796,0.00006591164,0.0001092201,0.9926316,0.00004710641,0.00006518943,0.002455171],"study_design_scores_gemma":[0.00002532927,0.001416345,0.4214471,0.00003782503,0.0001284865,0.0005458976,0.00151804,0.004021265,0.567058,0.0004247422,0.003327972,0.00004883471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913113,0.0008376046,0.001097784,0.0001230351,0.00002893289,0.00003483481,0.005008112,0.00002840837,0.001529995],"genre_scores_gemma":[0.9881441,0.0008704188,0.002685048,0.0001288507,0.00003507705,0.0000884777,0.005332602,0.00001872404,0.00269675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001860364,"threshold_uncertainty_score":0.003699124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321467545501561,"score_gpt":0.2526895822878325,"score_spread":0.2394749068328169,"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."}}