{"id":"W4410188329","doi":"10.4258/hir.2025.31.2.125","title":"Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT","year":2025,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Random forest; Computer science; Artificial intelligence; Medicine; Bioinformatics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00118219,0.0008952765,0.0004153023,0.0009110026,0.0002745612,0.0008550712,0.001088152,0.0009728562,0.002285831],"category_scores_gemma":[0.004867496,0.0003021957,0.001247419,0.0003653202,0.0003881862,0.001196312,0.0008601631,0.0009839268,0.0006174999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006387819,"about_ca_system_score_gemma":0.0008889007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003938437,"about_ca_topic_score_gemma":0.005409888,"domain_scores_codex":[0.9995828,0.0001122224,0.00003511872,0.000142767,0.00009059365,0.00003641891],"domain_scores_gemma":[0.9984578,0.001033245,0.0001264332,0.0001321593,0.0002110101,0.00003933751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006217004,0.0004375537,0.03549438,0.0008461989,0.0004237302,0.00240394,0.0009544506,0.3304118,0.02569424,0.01571805,0.01007261,0.5769215],"study_design_scores_gemma":[0.00003639715,0.00009391717,0.001687843,0.00003554703,0.00007500801,0.000302599,0.00004221282,0.9814327,0.005390035,0.007992085,0.002888553,0.00002307022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04819812,0.0002538176,0.9311703,0.0009056073,0.00005979368,0.0003013302,0.0007087145,0.0165329,0.001869305],"genre_scores_gemma":[0.5506639,0.0002667228,0.444823,0.0005002164,0.00005431491,0.000292085,0.001630089,0.0002119421,0.001557737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003938437,"threshold_uncertainty_score":0.007831037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2056067041650366,"score_gpt":0.4477474518351457,"score_spread":0.2421407476701091,"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."}}