{"id":"W3134203110","doi":"10.3390/ecmc2020-08493","title":"Disease-modifying therapy for Alzheimer’s","year":2020,"lang":"en","type":"article","venue":"Proceedings of 6th International Electronic Conference on Medicinal Chemistry","topic":"Cholinesterase and Neurodegenerative Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Disease; Computer science; Medicine; Internal 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":[],"consensus_categories":[],"category_scores_codex":[0.0001257436,0.0002101294,0.0002997086,0.0003095173,0.0001497314,0.0002069976,0.0002136792,0.0001977039,0.004863654],"category_scores_gemma":[0.00009153327,0.00004748227,0.0002291566,0.0002527613,0.00008768091,0.0001477612,0.0001461817,0.0003736554,0.001248602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001760384,"about_ca_system_score_gemma":0.0001521128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004040406,"about_ca_topic_score_gemma":0.001852491,"domain_scores_codex":[0.9999641,0.000006899823,0.000002969213,0.00000589727,0.00001179214,0.000008329453],"domain_scores_gemma":[0.9999801,0.000002714194,0.00000527226,0.000001733886,0.000005339879,0.000004896496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001251899,0.001296193,0.001784827,0.002633337,0.0001808866,0.00129047,0.0001362607,0.0007881806,0.2483407,0.003051076,0.02119728,0.7180489],"study_design_scores_gemma":[0.001696478,0.0128788,0.01377134,0.0006627727,0.0005720415,0.006153604,0.0001334588,0.002938405,0.1626531,0.002457603,0.7960282,0.00005419667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3242613,0.6051984,0.007517295,0.003193979,0.001092001,0.0005827147,0.002025107,0.0005666689,0.05556251],"genre_scores_gemma":[0.7353202,0.2182897,0.008565134,0.002499354,0.0004162457,0.0002489206,0.002458502,0.00002821401,0.0321736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004863654,"threshold_uncertainty_score":0.01627052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0999211071498804,"score_gpt":0.3480420235099638,"score_spread":0.2481209163600834,"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."}}