{"id":"W4395114967","doi":"10.18280/ria.380226","title":"An Enhanced Hybrid Model for Liver Disease Detection Utilizing Deep Learning and Machine Learning","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Computer science; Artificial intelligence; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001316915,0.0003213679,0.0003368457,0.0002576734,0.002119034,0.0001019386,0.0002281378,0.0001866189,0.0003512711],"category_scores_gemma":[0.00110678,0.0003290538,0.0001396201,0.0003589515,0.0001360798,0.000476892,0.0001140785,0.001421134,0.0004802143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265137,"about_ca_system_score_gemma":0.0001729181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003755861,"about_ca_topic_score_gemma":0.001069283,"domain_scores_codex":[0.9965541,0.0004638085,0.0009345032,0.0009463492,0.0002220472,0.0008792332],"domain_scores_gemma":[0.9973136,0.001368796,0.0001821917,0.0003548195,0.0003187386,0.0004618259],"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":[0.0003645733,0.00009066927,0.0028052,0.0026897,0.00003143551,0.00003826961,0.02273681,0.2948245,0.02104682,0.00520483,0.0000262001,0.650141],"study_design_scores_gemma":[0.00002550078,0.0002077778,0.00002196341,0.0005874945,0.00004596023,0.000004962881,0.006474989,0.9612287,0.02285708,0.003836177,0.00437506,0.0003343887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1944055,0.004907052,0.797297,0.0002968177,0.0007670934,0.00129144,0.00002261463,0.0006175831,0.00039498],"genre_scores_gemma":[0.9925297,0.001592195,0.001208274,0.000143809,0.0004588053,0.0004788357,0.00005557083,0.000110556,0.003422277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7981243,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406113798020119,"score_gpt":0.4260580243643391,"score_spread":0.2854466445623272,"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."}}