{"id":"W2098318720","doi":"10.1186/gm326","title":"Drug repositioning for personalized medicine","year":2012,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Drug repositioning; Personalized medicine; Medicine; Drug discovery; Precision medicine; Pharmacogenomics; Clinical trial; Disease; Drug; Drug development; Bioinformatics; Computational biology; Pharmacology; Biology; Pathology","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":[0.001045462,0.001320643,0.001932836,0.003187386,0.0004035275,0.001424135,0.001564663,0.002037484,0.006718695],"category_scores_gemma":[0.001502455,0.0004201713,0.0007327351,0.002846938,0.0009931424,0.002295212,0.00102505,0.003221167,0.004779761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622352,"about_ca_system_score_gemma":0.001632829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341985,"about_ca_topic_score_gemma":0.002556469,"domain_scores_codex":[0.9995626,0.0001041787,0.00004871868,0.00007561343,0.0001758541,0.00003306918],"domain_scores_gemma":[0.9993343,0.0003594753,0.00008011761,0.00003752166,0.0001386779,0.00004985116],"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":[0.00005874221,0.00008166351,0.000128174,0.007375277,0.0001305494,0.0002825098,0.00004575258,0.001279379,0.00108071,0.01247675,0.05778538,0.9192751],"study_design_scores_gemma":[0.00002666206,0.0000461784,0.0003268313,0.001694744,0.00006241922,0.001244237,0.00003180634,0.000305537,0.0004933494,0.006207423,0.9895394,0.0000213326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000140008,0.9933823,0.001455792,0.001078428,0.000458196,0.00001849035,0.00004458856,0.00004199287,0.003380206],"genre_scores_gemma":[0.001653873,0.9936103,0.001632142,0.0007230684,0.0003794377,0.00002201151,0.00007151254,0.000007270678,0.001900258],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006718695,"threshold_uncertainty_score":0.02247626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383589223628604,"score_gpt":0.3164869214553351,"score_spread":0.2781279990924747,"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."}}