{"id":"W2558057290","doi":"10.2174/1568026617666161116143440","title":"Bioinformatics and Drug Discovery","year":2017,"lang":"en","type":"review","venue":"Current Topics in Medicinal Chemistry","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":245,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Drug discovery; Computational biology; Drug repositioning; Computer science; Profiling (computer programming); Proteomics; Structural genomics; Identification (biology); Virtual screening; Drug; Bioinformatics; Data science; Biology; Protein structure; Gene; Pharmacology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005918656,0.0004436018,0.0009332775,0.00008352593,0.0001076286,0.0001333279,0.0008295343,0.0004880503,0.00001619609],"category_scores_gemma":[0.0007859418,0.0003456981,0.0002225068,0.00007394341,0.0005733232,0.00001162543,0.0006717143,0.0008283631,0.00001176023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005805433,"about_ca_system_score_gemma":0.0005613091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004949927,"about_ca_topic_score_gemma":0.000006629319,"domain_scores_codex":[0.9977378,0.00004101865,0.0008414582,0.0004136726,0.0004721405,0.0004939502],"domain_scores_gemma":[0.9984158,0.00004057672,0.0003798788,0.0008241986,0.00006366194,0.0002758968],"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":[0.000005095041,0.00004235989,0.00004251452,0.02827435,0.0000367848,0.000007286971,0.00004168328,4.080159e-8,0.000007715862,0.000006404526,0.003558986,0.9679767],"study_design_scores_gemma":[0.0003211259,0.00003633283,0.000009345439,0.006440165,0.00009687961,0.00004571023,0.00006104102,0.00002093776,0.00009921734,0.00004162256,0.992462,0.0003655655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001907611,0.9955627,0.0000954384,0.00006784999,0.000610625,0.0003297573,0.00007471927,0.000007616051,0.003060585],"genre_scores_gemma":[0.00003889219,0.9945413,0.0001970978,0.00002289083,0.001458622,0.00003989283,0.0007934912,0.00002577496,0.002881979],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.988903,"threshold_uncertainty_score":0.9998995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06991515649462367,"score_gpt":0.3936113403846406,"score_spread":0.3236961838900169,"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."}}