{"id":"W2751398136","doi":"10.1093/ije/dyx180","title":"Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination","year":2017,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; McGill University Health Centre","funders":"National Institute on Aging; Medical Research Council; Partenariat Canadien Contre Le Cancer; European Commission; Ontario Institute for Cancer Research","keywords":"Computer science; Metadata; World Wide Web; Dissemination; JavaScript; Interoperability; Software; Mica; License; Java; Web application; Database; Operating system; Telecommunications","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003547058,0.0001584225,0.0005689217,0.0001377489,0.0002926513,0.00007453404,0.001183811,0.0001278259,0.00002602616],"category_scores_gemma":[0.03621601,0.0001297249,0.00006694112,0.00003442854,0.0003294685,0.000649189,0.001356282,0.0001935111,0.000004024103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007665238,"about_ca_system_score_gemma":0.00004967548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002647761,"about_ca_topic_score_gemma":0.00001174688,"domain_scores_codex":[0.9980268,0.0002392511,0.0008478336,0.0004622346,0.0001648641,0.0002590363],"domain_scores_gemma":[0.9948427,0.002320932,0.00139678,0.0006427459,0.0006082233,0.000188583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001002335,0.0002137748,0.4428335,0.0001128812,0.0005543538,0.00002998912,0.00003087976,0.00003602532,0.0003370694,0.008355702,0.0449714,0.5015221],"study_design_scores_gemma":[0.001991066,0.0002011706,0.9102842,0.0003371901,0.0002184998,0.0005243865,0.00004265858,0.01023561,0.00001336649,0.008767622,0.06720975,0.00017445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02489643,0.001371644,0.9520082,0.01885171,0.0005228619,0.001044551,0.001089281,0.00004425843,0.0001710431],"genre_scores_gemma":[0.6396449,0.002678057,0.3495877,0.002107147,0.0009279858,0.0001163098,0.004349157,0.00004223973,0.0005464264],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6147485,"threshold_uncertainty_score":0.9719024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253999023416296,"score_gpt":0.4371879176830423,"score_spread":0.3117880153414126,"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."}}