{"id":"W2505478609","doi":"10.1038/srep30024","title":"DisSim: an online system for exploring significant similar diseases and exhibiting potential therapeutic drugs","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Toxicogenomics; Similarity (geometry); Ontology; Computer science; Computational biology; Bioinformatics; Disease; Medicine; Biology; Artificial intelligence; Internal medicine; Genetics","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":[0.001549484,0.001526937,0.001194859,0.004840434,0.0006609157,0.001528213,0.00187077,0.001175011,0.02868739],"category_scores_gemma":[0.005180089,0.000582511,0.001447932,0.002009644,0.0003348591,0.002063787,0.003361867,0.0008778906,0.006157747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009560589,"about_ca_system_score_gemma":0.001670065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614198,"about_ca_topic_score_gemma":0.003744051,"domain_scores_codex":[0.9995377,0.00008828125,0.00007279235,0.0001522975,0.000108524,0.00004040954],"domain_scores_gemma":[0.9982772,0.0009670282,0.0001915459,0.0002180017,0.0001774582,0.0001687993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003923413,0.0009800786,0.0240074,0.006124,0.001346687,0.00134775,0.0006832342,0.01104047,0.02915953,0.02080042,0.4272392,0.4733477],"study_design_scores_gemma":[0.001262532,0.0009988723,0.02225587,0.0005650526,0.0008966673,0.002881973,0.0004902043,0.3251546,0.05828175,0.04873875,0.5379831,0.0004906219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.03181577,0.002446255,0.3511121,0.001383882,0.0005015882,0.001323818,0.1278967,0.4664181,0.01710182],"genre_scores_gemma":[0.1465184,0.002189706,0.6992887,0.001521843,0.0002212898,0.002537359,0.1284274,0.009112827,0.01018252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02868739,"threshold_uncertainty_score":0.0959689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06592039049492435,"score_gpt":0.2982099596514327,"score_spread":0.2322895691565084,"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."}}