{"id":"W2015157245","doi":"10.2196/mhealth.2859","title":"The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time","year":2014,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Oswaldo Cruz","keywords":"Track (disk drive); Information system; Computer science; Epidemiology; Data collection; Geography; Data science; Medicine; Statistics; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362113,0.0007988327,0.0005397193,0.002192039,0.0003906795,0.0008734746,0.0006861053,0.0004673227,0.006726162],"category_scores_gemma":[0.003889646,0.0003602997,0.0004568817,0.001014791,0.0003039362,0.001136427,0.001773698,0.0003717207,0.002301255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620973,"about_ca_system_score_gemma":0.0009461783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003373092,"about_ca_topic_score_gemma":0.003295793,"domain_scores_codex":[0.9993017,0.0001972246,0.0001079308,0.0001430893,0.0001967406,0.00005327636],"domain_scores_gemma":[0.9980253,0.0006999755,0.000293948,0.0003615681,0.0003536232,0.0002655695],"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":[0.003964614,0.0007310099,0.1173841,0.004641848,0.0008146199,0.002182878,0.004596981,0.005032298,0.07386253,0.007186771,0.1336531,0.6459492],"study_design_scores_gemma":[0.001337499,0.003638984,0.3596377,0.001402262,0.00107079,0.006226182,0.002096905,0.1471621,0.06050829,0.007495877,0.4085088,0.000914641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2379801,0.002056496,0.5068188,0.001313092,0.0005161634,0.005809799,0.03984577,0.1780733,0.02758648],"genre_scores_gemma":[0.7019843,0.001669679,0.2421985,0.0006473491,0.0002500844,0.00331598,0.03006464,0.001735706,0.01813383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006726162,"threshold_uncertainty_score":0.02250129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622693057212772,"score_gpt":0.3480019699165228,"score_spread":0.311775039344395,"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."}}