{"id":"W4404907948","doi":"10.1016/j.idm.2024.12.002","title":"Deep learning model meets community-based surveillance of acute flaccid paralysis","year":2024,"lang":"en","type":"article","venue":"Infectious Disease Modelling","topic":"Viral Infections and Immunology Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Response Biomedical (Canada)","funders":"Foreign, Commonwealth and Development Office; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Acute flaccid paralysis; Flaccid paralysis; Paralysis; Medicine; Geography; Artificial intelligence; Computer science; Virology; Surgery; Poliovirus","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005385781,0.0002051113,0.0003867757,0.0004733221,0.00039927,0.00006186902,0.0001071226,0.0001137173,0.00005710128],"category_scores_gemma":[0.00005462601,0.0001895783,0.0003465638,0.0006354526,0.0001508505,0.0001498255,0.00006337511,0.001027423,0.00005170616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121621,"about_ca_system_score_gemma":0.0002344667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002759978,"about_ca_topic_score_gemma":0.00001818049,"domain_scores_codex":[0.9984749,0.0003026987,0.0003451246,0.00027378,0.0002560909,0.0003474213],"domain_scores_gemma":[0.9988412,0.000195256,0.00005854353,0.0004646195,0.0002484162,0.0001919275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000221235,0.0002848548,0.01652993,0.0003799929,0.0006356964,0.00004481394,0.0001696815,0.9774576,0.001968386,0.0002973095,0.00002667842,0.001983781],"study_design_scores_gemma":[0.0005677959,0.0002414658,0.0004927373,0.0001795779,0.0004183164,0.00001167948,0.00001783268,0.996116,0.000500496,0.0009036452,0.0003832598,0.000167132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.575964,0.00189247,0.420229,0.0002370221,0.00008054606,0.000196456,0.00001253618,0.0002995486,0.001088464],"genre_scores_gemma":[0.9979472,0.0007487042,0.0006133915,0.00009582139,0.00004422343,0.0000610366,0.0001335878,0.00005134484,0.0003047086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4219832,"threshold_uncertainty_score":0.773078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528732656983399,"score_gpt":0.3205156374472042,"score_spread":0.2852283108773702,"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."}}