{"id":"W4401824861","doi":"10.1016/j.heliyon.2024.e36556","title":"Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Lakehead University","funders":"","keywords":"Artificial intelligence; Machine learning; Feature selection; Computer science; Univariate; Triiodothyronine; Preprocessor; Classifier (UML); Naive Bayes classifier; Medical diagnosis; Thyroid; Data mining; Medicine; Internal medicine; Support vector machine; Pathology; Multivariate statistics","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":[0.00155332,0.0005999217,0.0006255231,0.00102244,0.0003867202,0.001362219,0.00110855,0.001021545,0.001400512],"category_scores_gemma":[0.004576535,0.0002251957,0.0005693251,0.000473904,0.000296716,0.001246003,0.001505443,0.0009577163,0.0008608174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007520671,"about_ca_system_score_gemma":0.001295974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002695176,"about_ca_topic_score_gemma":0.002648711,"domain_scores_codex":[0.9991411,0.0001854117,0.0001016258,0.0001979584,0.0002898675,0.00008401703],"domain_scores_gemma":[0.9988158,0.0004097827,0.0001672878,0.0001526039,0.0003643548,0.00009023357],"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":[0.001566081,0.0007540433,0.05585427,0.0004828534,0.0002929039,0.001698475,0.0007876626,0.08463801,0.04216257,0.008517062,0.010431,0.792815],"study_design_scores_gemma":[0.00006451609,0.0003263298,0.005656008,0.00005941847,0.0001229191,0.000407759,0.000155357,0.9694459,0.01302754,0.006116079,0.00456843,0.00004974328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1416886,0.0008676391,0.8404385,0.002173945,0.0001384057,0.0005027704,0.0007582001,0.009271403,0.004160531],"genre_scores_gemma":[0.7951645,0.0003808916,0.2007211,0.0004688947,0.0001341482,0.0002279378,0.001004682,0.00008221796,0.001815665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002695176,"threshold_uncertainty_score":0.008214891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872069518708701,"score_gpt":0.3981940666927042,"score_spread":0.3694733715056172,"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."}}