{"id":"W4393744762","doi":"10.5281/zenodo.8068319","title":"S73 | METXBIODB | Metabolite Reaction Database from BioTransformer","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Database; Metabolite; Computer science; Chemistry; Biochemistry","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":[0.0008260171,0.002458633,0.001741161,0.002258508,0.0008463725,0.002664269,0.003101703,0.002449905,0.07016827],"category_scores_gemma":[0.002988048,0.000842768,0.001547417,0.004576538,0.0003551265,0.001542645,0.001867266,0.00209233,0.1027322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738812,"about_ca_system_score_gemma":0.002481997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009471056,"about_ca_topic_score_gemma":0.01707187,"domain_scores_codex":[0.9991094,0.0001274579,0.0001036256,0.0002765884,0.0002723039,0.0001105483],"domain_scores_gemma":[0.9988059,0.000256719,0.0002094412,0.0003417279,0.0002447764,0.0001414067],"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":[0.0003839234,0.00004468123,0.001483274,0.001804639,0.00007853274,0.00007682335,0.00002210372,0.0003901532,0.001500393,0.0007608468,0.9895644,0.003890212],"study_design_scores_gemma":[0.0003244762,0.00003976166,0.00318759,0.0002206748,0.00005298192,0.0001250027,0.00002568278,0.0003753741,0.001653927,0.0009177942,0.9930465,0.00003016531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000227395,0.0002083697,0.0001286016,0.00006359384,0.0000187584,0.00001173383,0.9975545,0.0008027779,0.0009843564],"genre_scores_gemma":[0.0005138926,0.0001039058,0.0002874881,0.00006241236,0.000004011678,0.00003856969,0.9984089,0.0001373062,0.0004436149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07016827,"threshold_uncertainty_score":0.2347363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087961205718095,"score_gpt":0.2636450915322205,"score_spread":0.2327654794750396,"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."}}