{"id":"W3138088657","doi":"10.1186/s13031-021-00354-9","title":"Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon","year":2021,"lang":"en","type":"article","venue":"Conflict and Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Reach Technologies (Canada)","funders":"UNICEF","keywords":"Outbreak; Medicine; Public health; Environmental health; Psychological intervention; Government (linguistics); Distrust; Public health surveillance; Medical emergency; Nursing; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008972679,0.001083492,0.0002131262,0.001060706,0.002495282,0.0009555557,0.0008652741,0.001385052,0.003466914],"category_scores_gemma":[0.00314859,0.0003865097,0.0002523407,0.0009018802,0.001190137,0.000698221,0.001410185,0.001029295,0.0002126099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069725,"about_ca_system_score_gemma":0.001626277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0286127,"about_ca_topic_score_gemma":0.04288105,"domain_scores_codex":[0.999104,0.0004003487,0.00004603016,0.0001031283,0.0000564083,0.0002900956],"domain_scores_gemma":[0.9985026,0.0003445384,0.0003174018,0.00005274539,0.0001472654,0.0006354226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0004573663,0.00149753,0.4335784,0.0007527691,0.00008047021,0.4963266,0.0358239,0.001293353,0.004344794,0.000937748,0.002566922,0.02234013],"study_design_scores_gemma":[0.0001359543,0.003884051,0.5631949,0.0009899476,0.0001385413,0.2109073,0.2018776,0.004203112,0.003039257,0.0008812605,0.01059118,0.0001568844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969029,0.0003844603,0.0004275306,0.0004887633,0.00003189953,0.0002377701,0.0001361612,0.000008141656,0.001382502],"genre_scores_gemma":[0.9984018,0.0003912298,0.0004457353,0.0001896975,0.00002551233,0.00005532892,0.00005227642,0.000002784267,0.000435786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0286127,"threshold_uncertainty_score":0.05689234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107022473747236,"score_gpt":0.395738554132092,"score_spread":0.2850363067573684,"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."}}