{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006659406,0.0007589227,0.002553475,0.0002906886,0.0002019079,0.0001711473,0.0005156191,0.0004731419,0.00003766079],"category_scores_gemma":[0.0009103199,0.0006300805,0.001365159,0.0005014263,0.00008325929,0.000008020856,0.0002537116,0.0002157278,0.00002736227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003100728,"about_ca_system_score_gemma":0.0002696234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001088821,"about_ca_topic_score_gemma":0.000002385567,"domain_scores_codex":[0.9967865,0.0002476574,0.0009930044,0.001091494,0.0002523303,0.0006289884],"domain_scores_gemma":[0.9976662,0.0001527913,0.0006430257,0.001114587,0.0002765522,0.000146804],"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":[0.000004952983,0.00012266,0.00004314838,0.005493531,0.001802627,0.000001741912,0.0000197151,3.26462e-7,0.01185476,0.00355564,0.0009076266,0.9761932],"study_design_scores_gemma":[0.0002182399,0.00004162141,0.00004256857,0.0006054447,0.002336814,0.00001178609,0.00003322605,0.000007789929,0.008545312,0.00005538894,0.9874708,0.0006310141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003233691,0.9956046,0.0007847529,0.00002239569,0.001381098,0.001092704,0.0005880255,0.00005325601,0.0001498063],"genre_scores_gemma":[0.0000990784,0.9811681,0.01216512,0.00002068143,0.001948167,0.0009226919,0.002218557,0.0001455058,0.00131211],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9865631,"threshold_uncertainty_score":0.9996151,"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."}}