{"id":"W4377023964","doi":"10.1002/trc2.12394","title":"Open drug discovery in Alzheimer's disease","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Translational Research & Clinical Interventions","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"National Institute on Aging","keywords":"Drug discovery; Computer science; Disease; Quality (philosophy); Set (abstract data type); Data science; Computational biology; Risk analysis (engineering); Bioinformatics; Biology; Medicine","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.006658916,0.0006960721,0.001253908,0.001353669,0.0005385115,0.003397636,0.001741497,0.001095322,0.006372728],"category_scores_gemma":[0.01070649,0.0005592806,0.001001567,0.001707295,0.002697208,0.003738055,0.003522146,0.002345124,0.001630202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317775,"about_ca_system_score_gemma":0.002741808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005818052,"about_ca_topic_score_gemma":0.0005591468,"domain_scores_codex":[0.9975336,0.00138471,0.00008878433,0.0002700037,0.0006330071,0.00008994027],"domain_scores_gemma":[0.9950562,0.003341728,0.0002987963,0.0007424048,0.000357219,0.0002037113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003703851,0.00019054,0.0009110674,0.001189523,0.000143991,0.000118216,0.0001904491,0.07842456,0.003746627,0.7024471,0.009319428,0.2029482],"study_design_scores_gemma":[0.0001980184,0.0001918746,0.0002652682,0.0002233665,0.00006501111,0.00007169804,0.00005430996,0.165447,0.005472295,0.7637708,0.06420871,0.00003165396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0190146,0.01256975,0.9307733,0.008660624,0.000432152,0.0003338092,0.001290477,0.005223808,0.02170156],"genre_scores_gemma":[0.2705096,0.02527407,0.6901988,0.002302516,0.0004598241,0.00145234,0.002317954,0.0007859273,0.006698915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9982585,"threshold_uncertainty_score":0.03521609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.472642479108011,"score_gpt":0.5676187915638456,"score_spread":0.0949763124558346,"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."}}