{"id":"W4414188515","doi":"10.18280/isi.300712","title":"Comparative Evaluation of Machine Learning Models for Diabetes Prediction: A Focus on Ensemble Methods","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Ensemble learning; Key (lock); Feature (linguistics); Interpretability","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":[],"consensus_categories":[],"category_scores_codex":[0.004801149,0.0001680734,0.0004016112,0.0003997314,0.0009913942,0.0000218382,0.0001395882,0.0002326741,0.00005912382],"category_scores_gemma":[0.002126385,0.0001580391,0.00008469879,0.0004803819,0.00009230051,0.001105669,0.00005305134,0.0003961411,0.00003134243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000825433,"about_ca_system_score_gemma":0.0005429549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003116628,"about_ca_topic_score_gemma":0.0001586541,"domain_scores_codex":[0.9964373,0.001348918,0.001319742,0.0001565686,0.0003774062,0.0003601155],"domain_scores_gemma":[0.994877,0.001820063,0.0006958432,0.0002367063,0.002312989,0.00005738626],"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":[0.0006209409,0.00009286023,0.02465092,0.003967749,0.0002306026,5.995354e-8,0.1097323,0.2299578,0.001005184,0.09460266,0.001689667,0.5334493],"study_design_scores_gemma":[0.0003642867,0.000232438,0.0009021303,0.0008430029,0.00006748271,1.171276e-7,0.008214001,0.8655939,0.01022998,0.1122534,0.001200283,0.00009904066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3389179,0.0005265066,0.6011596,0.0004967051,0.001425016,0.005158985,0.0001645824,0.0002518746,0.05189886],"genre_scores_gemma":[0.990206,0.00001884489,0.007687586,0.0002298375,0.00007520184,0.001470588,0.0001768923,0.00001020135,0.0001248301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6512882,"threshold_uncertainty_score":0.7625102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2205544225251508,"score_gpt":0.4817434015574827,"score_spread":0.2611889790323318,"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."}}