{"id":"W4393475206","doi":"10.5281/zenodo.4094568","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":2,"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":[0.0007434754,0.002336466,0.001521666,0.002262793,0.0006736167,0.002342315,0.002736958,0.002106855,0.05773009],"category_scores_gemma":[0.002690066,0.0007010331,0.001350259,0.004476858,0.0003234168,0.001438076,0.001672241,0.001785723,0.08780562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499311,"about_ca_system_score_gemma":0.002142392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009444556,"about_ca_topic_score_gemma":0.01660904,"domain_scores_codex":[0.9992529,0.0001158504,0.00008844837,0.0002347372,0.0002197005,0.00008834165],"domain_scores_gemma":[0.9990595,0.0002029802,0.000153077,0.0002647886,0.0002032562,0.0001163964],"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":[0.0004041426,0.00005732021,0.001604246,0.001756234,0.00008042553,0.00008144832,0.0000214637,0.0005532639,0.00143418,0.0007738217,0.988179,0.005054592],"study_design_scores_gemma":[0.0003142427,0.00004264375,0.003362409,0.0001954308,0.00004632711,0.0001160188,0.00002743647,0.0004871709,0.001424521,0.0008936501,0.9930604,0.00002975651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002794381,0.0002130125,0.0001348734,0.0000587237,0.00001758047,0.00001235904,0.9974884,0.000735103,0.001060571],"genre_scores_gemma":[0.000523905,0.0001068794,0.0003104484,0.00005204944,0.00000384447,0.00003649406,0.9984125,0.0001031499,0.0004507548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05773009,"threshold_uncertainty_score":0.1931264,"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."}}