{"id":"W7134836561","doi":"10.5281/zenodo.18943426","title":"Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Panel Data to Measure Cost-Effectiveness","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Panel data; Public health surveillance; Quarter (Canadian coin); Measure (data warehouse); Investment (military); Health care; Data collection; Healthcare system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.348486,0.001372597,0.002170634,0.002125843,0.0008718657,0.002875679,0.002571095,0.001660103,0.001908199],"category_scores_gemma":[0.506039,0.001129606,0.007562329,0.003021481,0.00147463,0.001451476,0.003285515,0.00250106,0.0001622923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004943863,"about_ca_system_score_gemma":0.004216547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008333638,"about_ca_topic_score_gemma":0.004443114,"domain_scores_codex":[0.4239077,0.5514554,0.01384571,0.004097376,0.00571252,0.0009813729],"domain_scores_gemma":[0.4067033,0.5293235,0.02952363,0.0225432,0.01125766,0.0006486776],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03516617,0.002207638,0.1978676,0.01954878,0.08214819,0.0004947822,0.00483127,0.2617588,0.001878205,0.06372499,0.005860404,0.3245132],"study_design_scores_gemma":[0.01961491,0.03407843,0.241909,0.01518564,0.06743641,0.0007684141,0.003242378,0.4640813,0.01458782,0.1023066,0.03588953,0.0008994498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4415165,0.02101267,0.4915304,0.005111995,0.0008916697,0.02464529,0.006029741,0.0002870115,0.008974683],"genre_scores_gemma":[0.8534504,0.001686958,0.1250241,0.0005993544,0.000105591,0.01699236,0.001605051,0.00004131623,0.0004949498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.348486,"threshold_uncertainty_score":0.8034328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6999936095203574,"score_gpt":0.4561946768440539,"score_spread":0.2437989326763035,"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."}}