{"id":"W2924708374","doi":"10.1101/582155","title":"The Dementias Platform UK (DPUK) Data Portal","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Medical Research Council; Dementias Platform UK; UK Research and Innovation","keywords":"Computer science; Data access; Interoperability; Data management; Cohort; Audit; Database; World Wide Web; Computer security; Data science; Medicine; Business","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00281134,0.0007334007,0.0005159799,0.0000835816,0.0006746755,0.0003668681,0.003005494,0.0005079852,0.001555508],"category_scores_gemma":[0.0003787319,0.0006496108,0.0001325342,0.0003475822,0.0004869914,0.0005065604,0.007008231,0.001468138,0.003663308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006517808,"about_ca_system_score_gemma":0.0003171982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003494509,"about_ca_topic_score_gemma":0.00006613633,"domain_scores_codex":[0.9942107,0.0001832527,0.0008306532,0.0023778,0.001135805,0.00126181],"domain_scores_gemma":[0.9929441,0.0002274341,0.0007079441,0.005637245,0.00003830671,0.0004449765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001786393,0.0008947778,0.6724234,0.0007756984,0.001367226,0.0006350243,0.0001292638,0.002680134,0.2722563,0.001294957,0.0468651,0.0004995065],"study_design_scores_gemma":[0.0009563546,0.00007537778,0.7769567,0.0003106918,0.0002976808,9.285453e-8,0.0000272971,0.004737271,0.02254953,0.00001598045,0.1921011,0.00197193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877596,0.00106121,0.003053979,0.0007813149,0.002472708,0.002664426,0.0008158514,0.0003291223,0.001061792],"genre_scores_gemma":[0.9954629,0.001004728,0.001999769,0.0008131917,0.0003477694,0.0001482349,0.000004207607,0.0001663297,0.00005289702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2497068,"threshold_uncertainty_score":0.9995955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815367331757992,"score_gpt":0.2436354702808302,"score_spread":0.2154817969632502,"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."}}