{"id":"W4393820731","doi":"10.5281/zenodo.4247792","title":"S73 | METXBIODB | Metabolite Reaction Database from BioTransformer","year":2020,"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; Computational biology; Biology; 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":[0.0007833134,0.002564902,0.001619538,0.002196332,0.0007424339,0.002550045,0.002976447,0.002259646,0.06135436],"category_scores_gemma":[0.002754139,0.0008118249,0.001454701,0.004261706,0.0003431253,0.001508718,0.001851759,0.001897063,0.09623343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565974,"about_ca_system_score_gemma":0.002153761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008727285,"about_ca_topic_score_gemma":0.01552764,"domain_scores_codex":[0.9991959,0.0001181182,0.00009345415,0.0002562314,0.0002393357,0.00009702914],"domain_scores_gemma":[0.9989794,0.0002101243,0.0001687593,0.000307611,0.0002063454,0.0001277401],"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":[0.0003884869,0.00004704298,0.001575974,0.001753482,0.00007863835,0.00008198482,0.00002220954,0.0004751245,0.00150434,0.0007515795,0.9890343,0.004286872],"study_design_scores_gemma":[0.0003272719,0.00004159661,0.003364411,0.0001989029,0.00004910809,0.0001272924,0.00002632934,0.0004885148,0.00160728,0.0009288631,0.9928105,0.00002988227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002882155,0.0002296183,0.0001466892,0.00006420918,0.00001989681,0.00001228768,0.997086,0.001062052,0.001091004],"genre_scores_gemma":[0.0005606413,0.0001029522,0.0003068752,0.00005824788,0.000004068139,0.00003349354,0.9983593,0.000146031,0.0004284489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06135436,"threshold_uncertainty_score":0.2052508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815296071787066,"score_gpt":0.2514703823713735,"score_spread":0.2233174216535028,"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."}}