{"id":"W3112535304","doi":"10.1002/alz.039163","title":"Drug repurposing for Alzheimer’s disease: Selective serotonin reuptake inhibitors","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Paroxetine; Fluvoxamine; Citalopram; Antidepressant; Sertraline; Drug repositioning; Fluoxetine; Escitalopram; Drug; Pharmacology; Serotonin reuptake inhibitor; Drug discovery; Dementia; Medicine; Disease; Bioinformatics; Serotonin; Psychiatry; Internal medicine; Biology; Anxiety","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":[0.0002656575,0.0004336036,0.0005713187,0.0003413657,0.000198085,0.0004449488,0.0004226108,0.0003452379,0.003684433],"category_scores_gemma":[0.0003256379,0.0001587983,0.0008796557,0.0003204727,0.0001197455,0.0003671514,0.0002025717,0.0003768514,0.0005666034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003481682,"about_ca_system_score_gemma":0.0004364421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333672,"about_ca_topic_score_gemma":0.002610635,"domain_scores_codex":[0.9998471,0.00003720975,0.00001414546,0.00002345393,0.00005886503,0.00001918291],"domain_scores_gemma":[0.9998686,0.00004467656,0.00004100956,0.000008518965,0.0000274381,0.000009741144],"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":[0.002276529,0.001547312,0.01328663,0.01451378,0.001239677,0.006015282,0.0002276931,0.09747561,0.2971961,0.0122355,0.01872881,0.535257],"study_design_scores_gemma":[0.002094293,0.01564037,0.01839964,0.00172095,0.003522225,0.01374081,0.0005632865,0.2940277,0.4008608,0.01467628,0.2344493,0.0003043709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6671718,0.2399835,0.04982867,0.003631461,0.0004554159,0.0008304896,0.002881121,0.00119498,0.03402245],"genre_scores_gemma":[0.9033033,0.06341053,0.02611233,0.0005900418,0.0001230814,0.0001937114,0.001202914,0.00004313746,0.005020984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003684433,"threshold_uncertainty_score":0.01232564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467672819975881,"score_gpt":0.3067582483143422,"score_spread":0.2599909663167541,"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."}}