{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000476087,0.0007294223,0.000751827,0.0006267749,0.0002810862,0.0007255922,0.001321113,0.0012047,0.001964766],"category_scores_gemma":[0.0007470179,0.0003687378,0.0009026246,0.0004319596,0.0002554844,0.0006807003,0.0007704198,0.001116664,0.0005018215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006532774,"about_ca_system_score_gemma":0.0009082738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01486567,"about_ca_topic_score_gemma":0.01605322,"domain_scores_codex":[0.9998612,0.00002490109,0.000009767519,0.00004158548,0.00002921412,0.00003331216],"domain_scores_gemma":[0.9997876,0.00008187341,0.00001892116,0.00001333622,0.00007993289,0.00001830313],"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":[0.0002067936,0.0001862316,0.005262472,0.00006813535,0.0001629441,0.0002164972,0.00004478289,0.8551047,0.003130512,0.002778788,0.004438151,0.1284],"study_design_scores_gemma":[0.000003285769,0.00001189355,0.0001173875,0.000002355824,0.000007224768,0.00001248839,0.000001327881,0.9990793,0.0001578755,0.0004365774,0.0001678554,0.000002466303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1009354,0.002776627,0.8844888,0.001825359,0.0003583283,0.00008850067,0.001032987,0.003074369,0.00541954],"genre_scores_gemma":[0.9102007,0.0009027462,0.07580668,0.0008178039,0.0001765843,0.0002102081,0.001262195,0.00007646455,0.01054664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01486567,"threshold_uncertainty_score":0.0295583,"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."}}