{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00781248,0.0005945519,0.0009441049,0.003332701,0.0008636111,0.004349682,0.002034776,0.00141891,0.09465471],"category_scores_gemma":[0.02355383,0.0007894122,0.0005206689,0.004349885,0.0008150156,0.004682314,0.007518644,0.001224726,0.052975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684858,"about_ca_system_score_gemma":0.005057531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006859093,"about_ca_topic_score_gemma":0.005999059,"domain_scores_codex":[0.9951918,0.001458795,0.0007928081,0.000731558,0.001301273,0.0005236622],"domain_scores_gemma":[0.9835976,0.004071563,0.001649569,0.004943368,0.002892449,0.002845535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001547288,0.00009054708,0.00773682,0.001226727,0.00005261726,0.000699684,0.001091551,0.0004622514,0.001455675,0.01683037,0.8659087,0.1028979],"study_design_scores_gemma":[0.0002455644,0.00007551788,0.006004753,0.0004033173,0.00002256973,0.0003915103,0.0003431641,0.0006543926,0.001419149,0.007484015,0.9828898,0.00006622791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.03349439,0.00369023,0.05358805,0.0112344,0.001021854,0.00183313,0.6593615,0.07249264,0.1632839],"genre_scores_gemma":[0.1444651,0.002147438,0.05906011,0.003791959,0.0003863271,0.002396591,0.7071738,0.008739732,0.071839],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09465471,"threshold_uncertainty_score":0.3166515,"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."}}