{"id":"W4399728776","doi":"10.1007/978-981-97-1841-2_1","title":"Comparative Analysis of Deep Learning-Based Hybrid Algorithms for Liver Disease Prediction","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Algorithm","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":[0.002761903,0.0009923786,0.0009983919,0.001461065,0.000322328,0.001174454,0.001318446,0.001122823,0.002693871],"category_scores_gemma":[0.004731202,0.0002475228,0.0006414048,0.0012455,0.0002740389,0.001390717,0.0007075873,0.0007265194,0.0005247706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076355,"about_ca_system_score_gemma":0.0009520979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0126313,"about_ca_topic_score_gemma":0.01159108,"domain_scores_codex":[0.9992585,0.0002565472,0.0000699887,0.000119113,0.0002006433,0.00009527335],"domain_scores_gemma":[0.9952624,0.003473144,0.000116065,0.0001951822,0.0008596409,0.00009353511],"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":[0.002566214,0.0006913548,0.01206939,0.0004361662,0.0007288209,0.00007507105,0.00005889788,0.4479454,0.002066057,0.002574114,0.007381804,0.5234067],"study_design_scores_gemma":[0.00003864973,0.0003083443,0.002859624,0.00003258022,0.000132513,0.00003006874,0.00003895331,0.9936934,0.00124766,0.0009283003,0.0006780801,0.00001195043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7508674,0.04254539,0.1824847,0.001785934,0.0007263331,0.0001683247,0.002551041,0.002408267,0.01646256],"genre_scores_gemma":[0.9379328,0.004003146,0.04895175,0.0002548454,0.0001604195,0.00009639046,0.00306317,0.0001211497,0.005416356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0126313,"threshold_uncertainty_score":0.02511555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09350538660627725,"score_gpt":0.396771484587793,"score_spread":0.3032660979815157,"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."}}