{"id":"W4321083903","doi":"10.4018/ijagr.318138","title":"IJAGR at the International Medical Symposium Geography 2022 Edinburgh, Scotland","year":2023,"lang":"en","type":"article","venue":"International Journal of Applied Geospatial Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Queen's University; University of North Carolina at Chapel Hill; Appalachian State University","keywords":"Library science; Geospatial analysis; Health geography; Geography; State (computer science); Event (particle physics); History; Media studies; Medicine; Cartography; Sociology; Public health; International health; Pathology; Health policy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004911759,0.0001807677,0.0003283165,0.001033695,0.0001958569,0.0001521128,0.001868408,0.0001396031,0.006589839],"category_scores_gemma":[0.001403615,0.000124831,0.0002865341,0.0007483964,0.0004672479,0.0001368509,0.001197194,0.001163454,0.0005316508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003954866,"about_ca_system_score_gemma":0.0008368688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009629,"about_ca_topic_score_gemma":0.0001476164,"domain_scores_codex":[0.9899714,0.0001060412,0.0007581037,0.0003430905,0.008313921,0.0005074373],"domain_scores_gemma":[0.995809,0.000962748,0.0002840167,0.0003290232,0.002121634,0.0004936423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009961226,0.0006810653,0.07212532,0.00003889233,0.002474841,0.003711248,0.0005905774,0.0004456532,0.02026657,0.00150069,0.802564,0.08563989],"study_design_scores_gemma":[0.0108748,0.0007327096,0.1586343,0.000567744,0.000118727,0.00166479,0.0007981911,0.005443695,0.009101043,0.004876859,0.8066763,0.0005109003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785089,0.0002850163,0.0002082802,0.07507074,0.004209025,0.0006344136,0.0003264705,0.0001010934,0.04065607],"genre_scores_gemma":[0.9904743,0.001448136,0.00007482043,0.0009867253,0.004212804,0.00004575584,0.0003712555,0.00003853271,0.002347639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1119654,"threshold_uncertainty_score":0.9943182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816438395122246,"score_gpt":0.3755435599942818,"score_spread":0.3473791760430593,"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."}}