{"id":"W2901332105","doi":"10.1093/nar/gky1105","title":"Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources","year":2018,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":737,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Children's Hospital of Eastern Ontario; University of Toronto; SickKids Foundation; University of Ottawa; Hospital for Sick Children","funders":"NHLBI Division of Intramural Research; National Center for Advancing Translational Sciences; National Human Genome Research Institute; British Heart Foundation; National Cancer Institute; National Institutes of Health; Horizon 2020; National Institute of Allergy and Infectious Diseases; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; European Commission; National Institute for Health and Care Research; E-Rare","keywords":"Biology; Phenotype; Knowledge base; Ontology; Computational biology; Base (topology); Genetics; Gene; World Wide Web; Computer science; Epistemology","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":[0.009185796,0.0008339822,0.0009609491,0.007410477,0.001292383,0.003066939,0.002827427,0.001337339,0.005690729],"category_scores_gemma":[0.0179107,0.0006287891,0.001716002,0.007880106,0.001089439,0.007391321,0.005334629,0.003879242,0.002362033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002379501,"about_ca_system_score_gemma":0.01221167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02396446,"about_ca_topic_score_gemma":0.02263534,"domain_scores_codex":[0.9963977,0.0007531208,0.0006420903,0.0006552131,0.001350368,0.000201453],"domain_scores_gemma":[0.9890745,0.004302688,0.0007565354,0.002370976,0.002549358,0.0009459381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003574681,0.0004212268,0.008646867,0.002536609,0.0002434382,0.00201684,0.002608705,0.006099971,0.007616282,0.1638577,0.2775508,0.528044],"study_design_scores_gemma":[0.00009323334,0.00004545035,0.00602179,0.001316588,0.0001795509,0.0008475831,0.0005356688,0.01107144,0.003054947,0.04725351,0.9294767,0.0001035982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02820012,0.006025737,0.6848533,0.02351559,0.002360084,0.001701656,0.1534241,0.01713978,0.08277973],"genre_scores_gemma":[0.05707572,0.006021006,0.6739858,0.005021487,0.000459515,0.001287813,0.245693,0.002065828,0.008389892],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02396446,"threshold_uncertainty_score":0.04857969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771103562546586,"score_gpt":0.3712816491888905,"score_spread":0.3135706135634246,"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."}}