{"id":"W6931106457","doi":"10.5281/zenodo.3597933","title":"DDIEM - Drug Database for inborn errors of metabolism","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":2,"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002807602,0.000142443,0.0003173195,0.0001692809,0.00001154396,0.000006911835,0.0001450847,0.00005987813,0.3526987],"category_scores_gemma":[0.001098621,0.000124998,0.0001146757,0.0001226699,0.000006886013,0.00002083383,0.0001331362,0.0001233009,0.000976005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001257566,"about_ca_system_score_gemma":0.0001206402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002384542,"about_ca_topic_score_gemma":0.00002149043,"domain_scores_codex":[0.9991001,0.00001478724,0.0001363989,0.0002315263,0.0003269442,0.0001902421],"domain_scores_gemma":[0.9993403,0.00006809378,0.0001093765,0.0002514748,0.00007045861,0.0001603161],"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":[0.00002383738,0.00003416633,0.000001189871,0.006284795,0.0001719888,0.00001420132,0.00001983291,2.986166e-7,0.00002641101,0.00007412623,0.9917157,0.001633416],"study_design_scores_gemma":[0.0006474832,0.00004028456,0.0002116653,0.002852704,0.00007295148,2.523752e-7,0.000023107,0.00004864709,0.0002188299,0.00001465848,0.9957709,0.00009854425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[6.163247e-7,0.00237537,0.000004579165,0.0004723129,0.00004201639,0.001297591,0.7893128,0.00006171426,0.206433],"genre_scores_gemma":[0.00003195467,0.00004211009,0.001618534,0.0004548316,0.0002709932,0.0004919623,0.5959265,0.0001748862,0.4009882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3517227,"threshold_uncertainty_score":0.9998019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05368914317224467,"score_gpt":0.3255251400929409,"score_spread":0.2718359969206963,"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."}}