{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008711834,0.0002027633,0.0005067324,0.0001887917,0.00006439595,0.00001234677,0.00004445511,0.00008900047,0.00004360731],"category_scores_gemma":[0.00006550887,0.0001297273,0.00009440578,0.0001423502,0.0002123578,0.0001336161,0.00004144145,0.00009491834,0.000005192853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002439369,"about_ca_system_score_gemma":0.00003435334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003680047,"about_ca_topic_score_gemma":0.000009214182,"domain_scores_codex":[0.9989753,0.00003592325,0.0003353285,0.0003261927,0.00009723621,0.0002300604],"domain_scores_gemma":[0.999402,0.00005078688,0.000100972,0.0002179938,0.00007817982,0.0001500567],"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":[0.0001146659,0.0001046433,0.408823,0.00008224684,0.0002615966,0.00000828326,0.00007875113,1.237162e-7,0.5817662,0.002240416,0.000003558637,0.006516482],"study_design_scores_gemma":[0.003601032,0.0001386421,0.5112171,0.00009590569,0.0003835148,0.00006795621,0.00005243987,0.0000120715,0.4839914,0.0002230633,0.0001016243,0.000115255],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966257,0.002070767,0.0002409711,0.0001336587,0.0001328626,0.0005842571,0.00002621012,0.00005120682,0.0001344187],"genre_scores_gemma":[0.9960883,0.001566548,0.00201094,0.00002635456,0.00005687459,0.00006489188,0.000004671528,0.00002607913,0.0001552882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.102394,"threshold_uncertainty_score":0.5290126,"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."}}