{"id":"W4393776850","doi":"10.5281/zenodo.4085087","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":[0.0007613095,0.002554206,0.001553138,0.002270153,0.0007266821,0.00239559,0.002980661,0.002259098,0.06083522],"category_scores_gemma":[0.002879056,0.0007314445,0.001391496,0.00432343,0.0003385436,0.001517609,0.001730925,0.001886643,0.09316801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518588,"about_ca_system_score_gemma":0.002121037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103806,"about_ca_topic_score_gemma":0.01971335,"domain_scores_codex":[0.9992305,0.0001157201,0.00008989543,0.0002479623,0.0002253882,0.00009051777],"domain_scores_gemma":[0.999023,0.0002219083,0.0001432472,0.000273473,0.0002133962,0.000124927],"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":[0.0002971755,0.00005052882,0.001358047,0.0014137,0.00006437091,0.00006514131,0.00001876853,0.00047339,0.0009995797,0.000615437,0.9905338,0.004110016],"study_design_scores_gemma":[0.0003490814,0.00004075848,0.003377868,0.0001984659,0.00004371113,0.0001122716,0.00002992878,0.0005521807,0.001251411,0.0009726099,0.9930414,0.00003038829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002412508,0.0001711044,0.0001159851,0.0000592055,0.00001812813,0.00001076831,0.9978405,0.0006454361,0.0008975066],"genre_scores_gemma":[0.0004368833,0.00008492946,0.0002749831,0.00004522751,0.000003640135,0.00003386202,0.9986326,0.00008785074,0.0003999754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06083522,"threshold_uncertainty_score":0.203514,"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."}}