{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001878034,0.00004996775,0.00007231793,0.002302398,0.0001003073,0.000412574,0.002972427,0.00003586915,0.000001969229],"category_scores_gemma":[0.0004738883,0.00004298827,0.00001837644,0.001502327,0.0008889405,0.003260502,0.001048904,0.000475091,0.000004694661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702521,"about_ca_system_score_gemma":0.0006174705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001911531,"about_ca_topic_score_gemma":0.000002840503,"domain_scores_codex":[0.9987048,0.00003621958,0.0002864699,0.0002005857,0.0005950087,0.0001769114],"domain_scores_gemma":[0.9985179,0.0001449462,0.00005952077,0.0004237598,0.0007428518,0.0001110701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001629189,0.00005816487,0.000658202,0.000005866057,0.000006604292,0.00004552006,0.0001609559,0.001036498,0.001581019,0.5968399,0.0001548042,0.3994361],"study_design_scores_gemma":[0.0002789361,0.00007103545,0.0008800452,0.0002929821,8.430909e-7,0.0001278901,0.0001552667,0.5346611,0.0005058577,0.4526081,0.01036063,0.00005724194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2820987,0.02451503,0.4354362,0.238656,0.002125203,0.0005490505,0.00006514954,0.0004023405,0.01615229],"genre_scores_gemma":[0.9806578,0.002624771,0.01660817,0.00004507961,0.00001585551,0.000009324951,0.00000145484,0.000002543412,0.00003497515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6985591,"threshold_uncertainty_score":0.5523559,"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."}}