{"id":"W2103126339","doi":"10.1186/s12936-015-0965-z","title":"Feasibility of an innovative electronic mobile system to assist health workers to collect accurate, complete and timely data in a malaria control programme in a remote setting in Kenya","year":2015,"lang":"en","type":"article","venue":"Malaria Journal","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fio Corporation (Canada)","funders":"","keywords":"Malaria; Public health; Tropical medicine; Environmental health; Control (management); Medicine; Medical emergency; Computer science; Data science; Nursing; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005605342,0.0002081053,0.0008340252,0.0004375396,0.00006510459,0.00006842706,0.0002943547,0.00009478386,0.000008642251],"category_scores_gemma":[0.0004328143,0.0001768225,0.0000232236,0.001410359,0.00003243895,0.0001853611,0.0001507023,0.000816328,0.000002926174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690896,"about_ca_system_score_gemma":0.001901114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004588225,"about_ca_topic_score_gemma":0.006912426,"domain_scores_codex":[0.9966623,0.0005494819,0.001109553,0.0004421225,0.0003887044,0.0008478252],"domain_scores_gemma":[0.9982874,0.00006049286,0.0003499211,0.0004024172,0.0002578807,0.0006418571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006473866,0.0003998024,0.9849065,0.0003958904,0.00004613905,0.0002232748,0.001846483,0.0002594932,0.0001856881,0.0002578428,0.0001927315,0.004812293],"study_design_scores_gemma":[0.009241547,0.002861942,0.9722477,0.001989721,0.00001444717,0.0008039318,0.002680094,0.009474151,0.000005002832,0.00008870999,0.0004263265,0.0001664046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911092,0.0002411189,0.0002068254,0.006052442,0.00007487297,0.00206268,0.00008949857,0.00001711272,0.0001462477],"genre_scores_gemma":[0.995213,0.000005860699,0.003658164,0.0009672403,0.00007660821,0.00001615114,0.00002873443,0.00001862656,0.00001563125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01265877,"threshold_uncertainty_score":0.7210613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05701268927946369,"score_gpt":0.3559168827262781,"score_spread":0.2989041934468145,"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."}}