{"id":"W4393779010","doi":"10.5281/zenodo.4079467","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; 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":[0.0007528964,0.002669728,0.001553513,0.002262076,0.0007180482,0.002300803,0.002891733,0.002344341,0.0422312],"category_scores_gemma":[0.002492393,0.0006674287,0.001377509,0.004099791,0.0003551532,0.001367923,0.001750548,0.001789356,0.07193539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477643,"about_ca_system_score_gemma":0.002050339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073665,"about_ca_topic_score_gemma":0.02025709,"domain_scores_codex":[0.9992229,0.0001179384,0.00008169975,0.0002571669,0.0002277792,0.00009250663],"domain_scores_gemma":[0.9991764,0.0001704111,0.0001369344,0.0002298095,0.0001705653,0.0001157822],"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":[0.0003871162,0.00006461665,0.002084319,0.001781816,0.00009717144,0.0001058454,0.00002698675,0.0006899483,0.00164027,0.0008729565,0.9867534,0.005495669],"study_design_scores_gemma":[0.0002935661,0.00004359764,0.003984452,0.0002082444,0.00005296856,0.0001529833,0.00003520457,0.0006970981,0.0016562,0.001161279,0.9916815,0.00003293365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004074241,0.0003066249,0.0001751441,0.00007213395,0.00002181072,0.00001207634,0.9971323,0.0007661162,0.001106409],"genre_scores_gemma":[0.0006352852,0.0001128925,0.0003440891,0.00004541562,0.000003847178,0.00003213581,0.9983414,0.00008510988,0.0003998687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0422312,"threshold_uncertainty_score":0.1412774,"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."}}