{"id":"W3205346035","doi":"10.5281/zenodo.4056561","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":[0.0007188764,0.002559646,0.001572983,0.002255582,0.00067634,0.00232413,0.002864221,0.002368772,0.04226647],"category_scores_gemma":[0.002602099,0.0006477874,0.001357809,0.003848274,0.000330462,0.001413559,0.001808217,0.001725185,0.06329221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434359,"about_ca_system_score_gemma":0.002001408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105397,"about_ca_topic_score_gemma":0.02044891,"domain_scores_codex":[0.9992731,0.0001176957,0.00007278856,0.0002425429,0.0002096255,0.00008417539],"domain_scores_gemma":[0.9992174,0.0001910366,0.000123195,0.0001957378,0.0001607325,0.000111995],"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":[0.0004063106,0.00006372695,0.002263754,0.002206133,0.0001132361,0.0001227157,0.00003247196,0.0009327403,0.001571975,0.001143045,0.9847988,0.006344945],"study_design_scores_gemma":[0.000272681,0.00003885564,0.003711269,0.000251562,0.00005474396,0.0001365119,0.00003926327,0.0008544991,0.001439767,0.001265493,0.9919036,0.00003192237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004214936,0.0003301444,0.0002114202,0.00007430767,0.00002197983,0.00001143462,0.9969722,0.0008139338,0.001143088],"genre_scores_gemma":[0.0007218781,0.0001329523,0.0003958736,0.00004394012,0.000003852198,0.00003239908,0.9981695,0.00009379383,0.000405776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04226647,"threshold_uncertainty_score":0.1413954,"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."}}