{"id":"W4309091908","doi":"10.3390/app122111127","title":"An Interpretable Machine Learning Approach for Hepatitis B Diagnosis","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Interpretability; Machine learning; Artificial intelligence; AdaBoost; Decision tree; Gradient boosting; Logistic regression; Random forest; Boosting (machine learning); Computer science; Support vector machine; 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":[0.001822764,0.000612538,0.0003450063,0.001125214,0.0003903022,0.001149595,0.0008248629,0.0009375174,0.002242528],"category_scores_gemma":[0.006186249,0.000178891,0.0006364814,0.0004378254,0.0007316376,0.001165331,0.0009666225,0.001287005,0.0001933678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008923957,"about_ca_system_score_gemma":0.0008889896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520737,"about_ca_topic_score_gemma":0.001474744,"domain_scores_codex":[0.9991131,0.0005421916,0.00003723811,0.00008595365,0.0001813816,0.00004003919],"domain_scores_gemma":[0.9983476,0.001078607,0.0001731645,0.0001118352,0.0002299399,0.00005888582],"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":[0.0001672263,0.0002266427,0.005846694,0.0002270283,0.0001302672,0.0007672135,0.0007935159,0.3839453,0.004368169,0.3945928,0.004286296,0.2046489],"study_design_scores_gemma":[0.00001737267,0.00006056747,0.0006225201,0.00003146652,0.00001853129,0.00009336275,0.00009018659,0.8385882,0.0007911116,0.156554,0.003119067,0.00001365718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02984439,0.0004755936,0.9604504,0.002802728,0.0001269236,0.00009591851,0.0001263852,0.0003609568,0.005716724],"genre_scores_gemma":[0.7245859,0.0004127193,0.2718526,0.0004096032,0.0001152955,0.000126099,0.0001735587,0.00003216274,0.002292007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002242528,"threshold_uncertainty_score":0.009639859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1484017627015627,"score_gpt":0.4545361366160857,"score_spread":0.306134373914523,"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."}}