{"id":"W4220767432","doi":"10.1016/j.ymgme.2022.01.036","title":"CLINICAL AND BIOCHEMICAL FOOTPRINTS OF INHERITED METABOLIC DISORDERS: A LESSON FROM THE KNOWLEDGEBASE","year":2022,"lang":"en","type":"article","venue":"Molecular Genetics and Metabolism","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computational biology; Biology; Genetics; Bioinformatics","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":[0.00674148,0.0008622996,0.001896578,0.00802498,0.001054451,0.005584086,0.003594395,0.003200466,0.004776163],"category_scores_gemma":[0.04625601,0.0009634487,0.001514728,0.005165241,0.003190805,0.01150437,0.003616603,0.004944839,0.001099997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758256,"about_ca_system_score_gemma":0.005532506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252268,"about_ca_topic_score_gemma":0.01225255,"domain_scores_codex":[0.9964011,0.001113632,0.0007756034,0.0006363099,0.000956637,0.0001166948],"domain_scores_gemma":[0.9523609,0.03112268,0.002749956,0.006720377,0.005518831,0.001527257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006779536,0.0002976178,0.04742829,0.004562755,0.001399872,0.004037291,0.002644901,0.007921053,0.00280636,0.1644633,0.1096007,0.6541601],"study_design_scores_gemma":[0.0001395287,0.00008778782,0.01786242,0.00667924,0.0009190487,0.004636057,0.001567385,0.005780158,0.001547632,0.6437455,0.3168369,0.0001982936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05830604,0.3582346,0.2194295,0.2851531,0.00745398,0.0002389253,0.02854963,0.00262169,0.04001255],"genre_scores_gemma":[0.4125452,0.2379986,0.2726089,0.03634445,0.006894141,0.0003623129,0.0277897,0.001080832,0.00437586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01252268,"threshold_uncertainty_score":0.03565276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868967133910302,"score_gpt":0.3395650417107529,"score_spread":0.3108753703716499,"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."}}