{"id":"W7138421758","doi":"10.5281/zenodo.19059178","title":"GIS-Aided Surveillance in Northern Nigeria: Evaluating Livestock Disease Outbreak Detection and Prevention Efforts","year":2014,"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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Outbreak; Livestock; Estimation; Metric (unit); Verifiable secret sharing; Key (lock); Thematic map","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001350571,0.0001633668,0.0002371232,0.0002157995,0.0006101935,0.0002147801,0.0002286699,0.00005286929,0.0007057407],"category_scores_gemma":[0.002639697,0.0001731551,0.00005307377,0.0004057634,0.0001134232,0.0002198074,0.0003370954,0.0002096069,0.0008500575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664438,"about_ca_system_score_gemma":0.00001019634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002441753,"about_ca_topic_score_gemma":0.00004027691,"domain_scores_codex":[0.9977466,0.0006605257,0.0003325854,0.0005199091,0.000416838,0.0003234671],"domain_scores_gemma":[0.9985897,0.00004611914,0.0001450875,0.0005042074,0.0003989596,0.0003159334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001975745,0.0005808828,0.03838155,0.0007815165,0.0001145741,0.00006651332,0.001042563,0.0003844211,0.02210105,0.000273121,0.003153434,0.9311447],"study_design_scores_gemma":[0.00294124,0.0008421627,0.8680782,0.0002335345,0.00003761357,0.00009690709,0.0001239835,0.005862161,0.0001892125,0.0004650422,0.1207846,0.0003453399],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881436,0.0001317652,0.003324328,0.0003098673,0.00008171298,0.0009232299,0.00009780836,0.0005717111,0.006415991],"genre_scores_gemma":[0.9975384,0.00004047138,0.0001913882,0.00007416124,0.0001258989,3.01967e-7,0.001189311,0.0005711798,0.00026882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9307993,"threshold_uncertainty_score":0.9999279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690518637437876,"score_gpt":0.2787210293090215,"score_spread":0.2518158429346428,"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."}}