{"id":"W4400104643","doi":"10.48175/ijarsct-19012","title":"AyuPredict – A Disease Prediction Model","year":2024,"lang":"en","type":"article","venue":"International Journal of Advanced Research in Science Communication and Technology","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Disease; Computer science; Medicine; Internal medicine","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":[0.0008500305,0.0007257301,0.0007397344,0.001271526,0.0004506759,0.001109418,0.001227813,0.001002013,0.007437129],"category_scores_gemma":[0.002083706,0.0002806492,0.00114846,0.00095819,0.0002400757,0.0007951159,0.0005781799,0.0009933984,0.002973935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007737649,"about_ca_system_score_gemma":0.001211114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03064861,"about_ca_topic_score_gemma":0.02812066,"domain_scores_codex":[0.9995926,0.00007952947,0.00002998088,0.000172998,0.00007536681,0.00004951891],"domain_scores_gemma":[0.9993542,0.0003160299,0.0000612822,0.00004460756,0.0001752919,0.00004865258],"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":[0.001800735,0.00108449,0.09630354,0.0004834267,0.0005160874,0.001013406,0.0003514265,0.5082455,0.003669146,0.01582181,0.05420548,0.316505],"study_design_scores_gemma":[0.00006216523,0.0001425025,0.005782926,0.00003204906,0.00008603422,0.0002674924,0.00003152788,0.981213,0.0005910668,0.004696431,0.007063985,0.00003076196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3353406,0.003643992,0.545957,0.00907961,0.001164658,0.0009510282,0.05516976,0.01549265,0.03320066],"genre_scores_gemma":[0.842537,0.001342315,0.1111522,0.0009711463,0.0003075119,0.0006125189,0.02038212,0.0001526336,0.02254258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03064861,"threshold_uncertainty_score":0.06094044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06847500195065057,"score_gpt":0.4120005621047643,"score_spread":0.3435255601541137,"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."}}