{"id":"W3135216524","doi":"10.3390/metabo11030157","title":"Automatic 1D 1H NMR Metabolite Quantification for Bioreactor Monitoring","year":2021,"lang":"en","type":"review","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa; Carleton University","funders":"National Research Council Canada","keywords":"Bioprocess; Metabolomics; Bioreactor; Context (archaeology); Computer science; Throughput; Biochemical engineering; Metabolite; Chemistry; Chromatography; Biology; Biochemistry; Engineering","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":[0.001092597,0.001330241,0.00168968,0.003718538,0.0002425312,0.001369318,0.001304537,0.001280266,0.003803838],"category_scores_gemma":[0.001083388,0.0005457735,0.0006588642,0.003043562,0.000488119,0.00207909,0.0008903764,0.00144588,0.005072511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005890423,"about_ca_system_score_gemma":0.0008080998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007104554,"about_ca_topic_score_gemma":0.001061556,"domain_scores_codex":[0.9996056,0.00004793406,0.0000305533,0.00009867713,0.0001870221,0.00003035149],"domain_scores_gemma":[0.9994305,0.0002417882,0.00007788136,0.00002859511,0.0001931279,0.00002811146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009129846,0.00009724835,0.0002132258,0.0216693,0.00009152782,0.0001759708,0.00003883979,0.0005400085,0.02774828,0.005034312,0.01265006,0.93165],"study_design_scores_gemma":[0.00001587088,0.0001544008,0.001169536,0.002316606,0.0001674563,0.001309986,0.00005640651,0.0005999465,0.02127156,0.002652523,0.9702068,0.00007891486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006012755,0.9889166,0.005195857,0.0002544884,0.0003400404,0.00003382094,0.0001944533,0.00007609602,0.004387388],"genre_scores_gemma":[0.00280494,0.9888632,0.005485634,0.0002809303,0.0002004409,0.00004996882,0.000272406,0.0000208535,0.002021519],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003803838,"threshold_uncertainty_score":0.01272511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06887799285806957,"score_gpt":0.3641199879446493,"score_spread":0.2952419950865798,"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."}}