{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003169804,0.00155336,0.002208199,0.003354714,0.0006013302,0.004769318,0.003227708,0.002870542,0.01494032],"category_scores_gemma":[0.005040191,0.000562844,0.00105131,0.004956605,0.002522942,0.004517439,0.002480779,0.006037621,0.01480746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002603307,"about_ca_system_score_gemma":0.003942765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001679798,"about_ca_topic_score_gemma":0.001592382,"domain_scores_codex":[0.9977259,0.0006671628,0.0001902195,0.0002993099,0.0009806807,0.0001368435],"domain_scores_gemma":[0.9975107,0.001390261,0.000159571,0.0002068426,0.00052238,0.0002101911],"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":[0.00004252977,0.00007858522,0.0002746334,0.005816305,0.0001530573,0.0001844684,0.00009364623,0.001171115,0.0006214489,0.07412495,0.1479237,0.7695157],"study_design_scores_gemma":[0.00001430148,0.00003120652,0.0001470587,0.00122624,0.00002189827,0.0003466032,0.00003182778,0.0002487976,0.0001782601,0.02489449,0.972845,0.00001441725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003177143,0.9381319,0.0114635,0.01693415,0.003344653,0.0001325691,0.0004277798,0.0003281159,0.02891978],"genre_scores_gemma":[0.003856454,0.9659312,0.009088724,0.008586979,0.00260793,0.0001460824,0.0006294344,0.00006396462,0.00908926],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01494032,"threshold_uncertainty_score":0.04998034,"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."}}