{"id":"W1903591517","doi":"10.5210/ojphi.v7i1.5849","title":"Integrated Disease Surveillance to Reduce Data Fragmentation – An Application to Malaria Control","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University; Bill and Melinda Gates Foundation","keywords":"Malaria; Cornerstone; Data sharing; Computer science; Data integration; Fragmentation (computing); Disease surveillance; Data science; Infectious disease (medical specialty); Psychological intervention; Automatic identification and data capture; Disease control; Process management; Risk analysis (engineering); Medicine; Disease; Data mining; Environmental health; Geography; Business","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":[0.005606316,0.0001912293,0.0005701109,0.0004199756,0.00006347779,0.0001092994,0.0006843413,0.00005459915,0.00002211856],"category_scores_gemma":[0.004467585,0.0001596027,0.00004587265,0.0007776567,0.00002968022,0.001396338,0.0001261368,0.0003165547,0.00006270871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005313998,"about_ca_system_score_gemma":0.004672811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005674764,"about_ca_topic_score_gemma":0.0000908496,"domain_scores_codex":[0.9962547,0.0002802273,0.001931932,0.0001638836,0.0009342741,0.0004349799],"domain_scores_gemma":[0.9916499,0.00006863115,0.001124374,0.001133756,0.001849491,0.004173817],"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":[0.003103773,0.002976122,0.0898998,0.0009931686,0.0003109859,0.00004229796,0.005001741,0.004762112,0.0001264418,0.0005688727,0.2464614,0.6457533],"study_design_scores_gemma":[0.006347297,0.00183335,0.2972404,0.0002760198,0.00005274359,0.0001319995,0.003482375,0.1277916,0.000002940456,0.00006246755,0.5624435,0.0003353374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4269744,0.0002216788,0.4363198,0.1274083,0.0006204544,0.001938629,0.006279291,0.0001186014,0.0001188078],"genre_scores_gemma":[0.8602928,0.0000754002,0.1057762,0.02392578,0.0007056379,0.00001804044,0.009123904,0.00003780013,0.00004448395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6454179,"threshold_uncertainty_score":0.8289367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118572227708889,"score_gpt":0.4103008139780077,"score_spread":0.2917285862691186,"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."}}