{"id":"W6968327872","doi":"10.5281/zenodo.3612033","title":"DDIEM - Drug Database for inborn errors of metabolism","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Mechanism (biology); Categorization; Drug; Inborn error of metabolism; Ontology; Drug metabolism; MEDLINE; Computer database","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":[0.001970951,0.001629068,0.001568225,0.006964686,0.0009390496,0.003615797,0.003507758,0.003086191,0.1742356],"category_scores_gemma":[0.00644798,0.0008997014,0.001666583,0.007351228,0.0004885461,0.003846996,0.003336921,0.001947316,0.1078939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002083454,"about_ca_system_score_gemma":0.002808907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004655675,"about_ca_topic_score_gemma":0.006103029,"domain_scores_codex":[0.9990694,0.0001673948,0.0001534378,0.0001596873,0.0003545435,0.00009554683],"domain_scores_gemma":[0.9973239,0.001122756,0.0003262137,0.0004259334,0.0004838422,0.0003172591],"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":[0.0004479099,0.00005946069,0.0007730463,0.004038223,0.0001010589,0.0003398393,0.0001084634,0.001195556,0.001415816,0.02501378,0.9198711,0.04663571],"study_design_scores_gemma":[0.00007735473,0.00001304441,0.0003857746,0.0002933028,0.0000311839,0.0001563106,0.00001787729,0.0003632498,0.0006931263,0.006253737,0.99169,0.00002504541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007304241,0.002961159,0.01390978,0.001579699,0.0003364058,0.0002213976,0.9021453,0.02476944,0.05334645],"genre_scores_gemma":[0.005841905,0.005040846,0.02221077,0.001996265,0.0001220032,0.0003656633,0.9419128,0.007562579,0.01494727],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1742356,"threshold_uncertainty_score":0.5828761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07200888335804691,"score_gpt":0.3085084153321684,"score_spread":0.2364995319741215,"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."}}