{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002151339,0.00009442571,0.0002053005,0.0001711999,0.0001182752,0.0001207062,0.0007930307,0.00005641865,0.00004478035],"category_scores_gemma":[0.0008617183,0.00005855032,0.0001252594,0.000105907,0.0001089402,0.0003511508,0.0000722041,0.0003887182,0.000009996967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899345,"about_ca_system_score_gemma":0.001592781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004860375,"about_ca_topic_score_gemma":0.00002526466,"domain_scores_codex":[0.996969,0.00004229621,0.0009842431,0.00005456209,0.001723939,0.0002259233],"domain_scores_gemma":[0.9977364,0.0002713886,0.0006103315,0.00019518,0.0007513529,0.0004353601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000971056,0.0002201946,0.0003297011,0.0000525103,0.0002207088,0.000005210205,0.001504796,0.00005692999,0.000002871903,0.003139029,0.02716592,0.967205],"study_design_scores_gemma":[0.001501084,0.0001505428,0.0004784012,0.000105149,0.00001216227,0.0006839534,0.0008273019,0.01448924,0.000009135077,0.0002949167,0.9813896,0.00005852176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01429372,0.0008906925,0.7188408,0.2622884,0.0008362353,0.001292845,0.0001869909,0.0000750957,0.001295255],"genre_scores_gemma":[0.7174303,0.003222199,0.1889032,0.07675213,0.01182757,0.0003693108,0.0009731794,0.00008378128,0.0004383983],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9671465,"threshold_uncertainty_score":0.2825525,"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."}}