{"id":"W3196708889","doi":"10.1016/j.coph.2021.07.012","title":"From serendipity to rational drug design in brain disorders: in silico, in vitro, and in vivo approaches","year":2021,"lang":"en","type":"review","venue":"Current Opinion in Pharmacology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Campbell Family Mental Health Research Institute","keywords":"Serendipity; Disease; Drug; Drug development; In silico; Drug discovery; Life expectancy; Bioinformatics; Medicine; Neuroscience; Psychiatry; Psychology; Biology; Genetics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002187306,0.0004623245,0.001403263,0.001729552,0.00002363208,0.00008454682,0.0009104327,0.0002046672,0.00004526961],"category_scores_gemma":[0.0002382341,0.000513626,0.0001050864,0.002355958,0.00006675431,0.0004213414,0.0008994214,0.00107471,0.000006804976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006431203,"about_ca_system_score_gemma":0.0009648819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001894428,"about_ca_topic_score_gemma":0.0003717159,"domain_scores_codex":[0.9912103,0.005432561,0.001237011,0.001327333,0.0002936508,0.000499135],"domain_scores_gemma":[0.9950963,0.004278342,0.0002312415,0.0002622361,0.00002194663,0.0001099655],"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":[0.00005446434,0.000988686,0.0005315122,0.001998887,0.00001954203,0.0000136038,0.002013498,0.03134903,0.00001481762,0.000895333,0.001873559,0.9602471],"study_design_scores_gemma":[0.006939894,0.00008262017,0.005585891,0.01376007,0.00003571527,0.00002280683,0.0001892792,0.3973891,0.00008733424,0.01587402,0.5576835,0.002349787],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001370301,0.9561577,0.03359227,0.001358241,0.005247588,0.002146106,0.00008310469,0.0000238011,0.00002083952],"genre_scores_gemma":[0.001109395,0.9792885,0.01669852,0.0001346248,0.0004356715,0.001900752,0.0003827245,0.00004102763,0.000008841197],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9578973,"threshold_uncertainty_score":0.9997315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1917324769455762,"score_gpt":0.447883783087424,"score_spread":0.2561513061418478,"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."}}