{"id":"W2095296110","doi":"10.1016/j.ijmedinf.2005.10.006","title":"The ALPHA Project: An architecture for leveraging public health applications","year":2005,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"China Scholarship Council; Public Health Agency; Public Health Agency of Canada","keywords":"Computer science; Flexibility (engineering); Architecture; Computer security; Reference architecture; Software architecture; Public health; Software; Process management; Software engineering; Risk analysis (engineering); Business; Operating system; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009838042,0.001720184,0.001309207,0.002763808,0.0009816104,0.00412014,0.004586737,0.002004232,0.00463642],"category_scores_gemma":[0.02239772,0.002166622,0.001649923,0.002701392,0.001541638,0.008043891,0.007281856,0.003103833,0.00298307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163318,"about_ca_system_score_gemma":0.00340027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007765906,"about_ca_topic_score_gemma":0.004391849,"domain_scores_codex":[0.9956195,0.001336185,0.0004715923,0.0009314155,0.001363356,0.0002780135],"domain_scores_gemma":[0.9889549,0.004053509,0.0005477279,0.004116724,0.001356736,0.00097046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001955031,0.001183287,0.03628455,0.001406348,0.001299237,0.001535235,0.004237568,0.05066156,0.02899911,0.05069987,0.1902051,0.6315331],"study_design_scores_gemma":[0.0003610744,0.0005029609,0.007407786,0.0004271392,0.0006721999,0.0009547976,0.0007430636,0.660372,0.04004461,0.07963514,0.2085431,0.0003361061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01818941,0.0005213851,0.7397644,0.001247496,0.0002643754,0.0006687348,0.001402826,0.2325626,0.005378831],"genre_scores_gemma":[0.214239,0.001385823,0.7416272,0.001725261,0.0002282425,0.001069024,0.01230244,0.01708178,0.01034119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009838042,"threshold_uncertainty_score":0.05202919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05208690025431177,"score_gpt":0.3970986021998307,"score_spread":0.3450117019455189,"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."}}