{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001672259,0.0001948937,0.0002286018,0.0001908191,0.0005170947,0.0007931309,0.0003847279,0.00003202639,0.000004886596],"category_scores_gemma":[0.0001642581,0.0001375254,0.0001074352,0.0003377293,0.0001776541,0.001588415,0.0002584773,0.00004692076,0.000001758134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008621368,"about_ca_system_score_gemma":0.0002052493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004288143,"about_ca_topic_score_gemma":0.000001170711,"domain_scores_codex":[0.9970202,0.0001756168,0.0005340752,0.001236103,0.0006279794,0.0004059668],"domain_scores_gemma":[0.9979922,0.0003036551,0.0002994058,0.0009229992,0.000220779,0.0002609748],"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":[0.00006126904,0.0005764627,0.003420623,0.000420701,0.0001039031,0.0009292038,0.002456098,0.007906839,0.1611513,0.03028543,0.0004816616,0.7922065],"study_design_scores_gemma":[0.001850016,0.0003857725,0.03238383,0.001221534,0.0002227921,0.0009625865,0.003004992,0.6387982,0.06897163,0.240236,0.009690952,0.00227172],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4650247,0.0001329892,0.5295029,0.0004101399,0.004355108,0.0003210712,0.00002145162,0.0002104653,0.0000211406],"genre_scores_gemma":[0.974144,0.000002222878,0.02534213,0.00002474975,0.0002205545,0.00007562726,0.00002103755,0.00001969942,0.0001499905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7899348,"threshold_uncertainty_score":0.764818,"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."}}