{"id":"W2730840272","doi":"10.2196/publichealth.7076","title":"A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institute of Environmental Health Sciences","keywords":"Environmental health; Computer science; Internet privacy; Disease surveillance; Public health surveillance; Data science; Public health; Computer security; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625293,0.0001435611,0.0003735286,0.00001789045,0.0009315936,0.0001819801,0.0001548534,0.00009535802,0.00001271885],"category_scores_gemma":[0.0003914474,0.00006759089,0.00005557453,0.00009326389,0.0001895537,0.0002910752,0.00007808438,0.00008217715,3.5495e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002003586,"about_ca_system_score_gemma":0.00005953004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004578447,"about_ca_topic_score_gemma":0.003271175,"domain_scores_codex":[0.9985541,0.00006850813,0.0004066134,0.0003616147,0.0001599431,0.0004492049],"domain_scores_gemma":[0.9986801,0.0001740033,0.0004830239,0.0001650441,0.0001428805,0.0003549344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001892273,0.00007646531,0.643325,0.000248534,0.00001954859,0.000003188627,0.0004166245,4.571072e-7,0.001519426,0.0006197599,0.0012226,0.3523592],"study_design_scores_gemma":[0.0003587311,0.0004934692,0.9043632,0.00001200951,2.641953e-7,0.00002174232,0.00032431,0.00009166932,0.00001163939,0.0002235108,0.093939,0.0001604819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860232,0.000718987,0.00003645617,0.0120524,0.0001855568,0.0005579776,0.00008884742,0.00004089655,0.0002956017],"genre_scores_gemma":[0.9988161,0.0003730823,0.00008032552,0.0003313395,0.0001264019,0.00006545468,0.00008825419,0.000001874267,0.000117164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3521987,"threshold_uncertainty_score":0.716516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06162317405174374,"score_gpt":0.2843485026553391,"score_spread":0.2227253286035954,"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."}}