{"id":"W4393608011","doi":"10.5281/zenodo.10137895","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":"Metabolite; Database; 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":[0.0009663445,0.002919923,0.001979523,0.002523031,0.0009835369,0.003106417,0.003647172,0.002924014,0.07905591],"category_scores_gemma":[0.003409246,0.001033135,0.001746092,0.005187584,0.0004024047,0.001823927,0.002165892,0.002533511,0.1258297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001995588,"about_ca_system_score_gemma":0.002870219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009998408,"about_ca_topic_score_gemma":0.01750971,"domain_scores_codex":[0.9989078,0.0001507453,0.0001259824,0.0003384082,0.0003480724,0.0001289676],"domain_scores_gemma":[0.9985982,0.0003047145,0.0002421705,0.0004049613,0.0002835523,0.0001664289],"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":[0.0003742178,0.00004643629,0.001132603,0.002034067,0.00007314524,0.00007035543,0.00002316954,0.0003971067,0.001658537,0.0008055471,0.9897931,0.003591737],"study_design_scores_gemma":[0.0003218199,0.00004006835,0.00250038,0.0002318729,0.00004922694,0.0001056237,0.00002398986,0.0003856256,0.00182461,0.0009411632,0.9935435,0.00003209612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001864154,0.0002016948,0.0001483954,0.00006336001,0.00002036185,0.00001317283,0.9974093,0.0009636118,0.0009937612],"genre_scores_gemma":[0.0004158656,0.0001025723,0.0003020924,0.00005892329,0.000003683661,0.00004291538,0.9984933,0.0001613402,0.0004192629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07905591,"threshold_uncertainty_score":0.2644684,"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."}}