{"id":"W7131841982","doi":"10.5376/ijccr.2025.15.0022","title":"Comparative Study on Construction Methods of Chronic Disease Prediction Models Based on Big Data","year":2025,"lang":"","type":"article","venue":"International Journal of Clinical Case Reports","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Big data; Predictive modelling; Data modeling; Chronic disease; Identification (biology)","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01904495,0.0004362271,0.001754798,0.00102282,0.0004221811,0.00005435368,0.0007743319,0.0005129457,0.0002431599],"category_scores_gemma":[0.01682652,0.0003834197,0.0006079155,0.0005195669,0.000581664,0.0005422762,0.0004881686,0.003316879,0.000009984152],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004201,"about_ca_system_score_gemma":0.0110744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004724791,"about_ca_topic_score_gemma":0.0003564741,"domain_scores_codex":[0.9761984,0.008063641,0.01219226,0.001025035,0.002102365,0.0004183375],"domain_scores_gemma":[0.9673594,0.01390109,0.01012588,0.001831544,0.006107396,0.0006746888],"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":[0.02256637,0.01910331,0.2432413,0.0006671677,0.003382598,0.08544739,0.002394006,0.1408634,0.00001809207,0.001812106,0.004548459,0.4759558],"study_design_scores_gemma":[0.002945011,0.007342253,0.02399826,0.01011949,0.001458033,0.002489338,0.01226225,0.9159785,0.0002058438,0.0194955,0.003267911,0.0004375943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7138618,0.0008916319,0.1806268,0.006304989,0.09269573,0.003041658,0.0009166211,0.00003777872,0.001623001],"genre_scores_gemma":[0.992803,0.0002974639,0.001621508,0.000641725,0.004434052,0.00002564712,0.00006308219,0.0000301178,0.00008334655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7751151,"threshold_uncertainty_score":0.9998618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7061699001427565,"score_gpt":0.683735565586375,"score_spread":0.02243433455638144,"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."}}