{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01453233,0.0002805271,0.0004370731,0.001006831,0.0004859531,0.001398613,0.004351111,0.00009901767,0.0003501482],"category_scores_gemma":[0.0009556659,0.0002900359,0.0008465607,0.00338354,0.0004214209,0.003890597,0.002555201,0.0009677088,0.0009182425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002689691,"about_ca_system_score_gemma":0.0009220468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002917419,"about_ca_topic_score_gemma":0.0006363359,"domain_scores_codex":[0.9907179,0.003352454,0.001845724,0.001349154,0.001806681,0.0009280334],"domain_scores_gemma":[0.9916442,0.006131683,0.0001833203,0.001064269,0.0004482312,0.0005282823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002994333,0.003174578,0.05118809,0.00003949988,0.004695545,0.000240389,0.0004425848,0.01580178,0.00001353007,0.6717582,0.03153919,0.2208072],"study_design_scores_gemma":[0.001695357,0.0001216442,0.538343,0.0003312133,0.0004998186,0.000002191036,0.00005912571,0.1376326,0.00003864116,0.3085192,0.01228854,0.0004686623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08690896,0.0664877,0.6699454,0.1464992,0.00584098,0.009175982,0.0008113124,0.001201887,0.01312861],"genre_scores_gemma":[0.9793363,0.0002581256,0.0187607,0.0002775861,0.0001884318,0.0005430557,0.000342894,0.00004129647,0.0002516122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8924273,"threshold_uncertainty_score":0.9999552,"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."}}