{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001318236,0.000184619,0.0006310775,0.0001342455,0.0003261002,0.00003943294,0.00008267516,0.0000562304,0.0001143549],"category_scores_gemma":[0.0001090736,0.0001881902,0.00004861622,0.0002954664,0.00008412753,0.00005070735,0.00008318166,0.0005455448,0.00001470422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381047,"about_ca_system_score_gemma":0.0008670391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01467155,"about_ca_topic_score_gemma":0.08629517,"domain_scores_codex":[0.9979129,0.0007963659,0.0004287721,0.0002988786,0.0001944661,0.0003685999],"domain_scores_gemma":[0.9984783,0.000176771,0.0001035576,0.0007463402,0.000148809,0.0003462468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001324968,0.001267707,0.9802468,0.0005525576,0.00004669871,0.00776315,0.003984999,0.000002859009,0.00003905448,0.0001021036,0.00161547,0.004246106],"study_design_scores_gemma":[0.007958913,0.0008557964,0.9441671,0.0001497,0.00002105711,0.0006733006,0.008473169,0.0001359414,0.00001545387,0.000009209532,0.03731713,0.0002232101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933086,0.001996242,0.00001706489,0.002093215,0.0001169795,0.0007611864,0.000141551,0.00008825095,0.001476914],"genre_scores_gemma":[0.993507,0.0001674574,0.00007937742,0.005387827,0.00007137169,0.00003226643,0.0005578948,0.00002628476,0.0001705619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07162362,"threshold_uncertainty_score":0.9918898,"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."}}