{"id":"W7125141042","doi":"10.18280/mmep.121216","title":"Comparative Analysis of Clustering Algorithms for Health Risk Profiling Based on Dietary and Physical Activity Patterns","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Intuitionistic Fuzzy Systems Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Cluster analysis; Physical activity; Pattern recognition (psychology); Fuzzy clustering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008648686,0.000953405,0.001573145,0.004736614,0.00100884,0.00231728,0.001585846,0.001548894,0.001620202],"category_scores_gemma":[0.02456637,0.0002877794,0.001647433,0.002821249,0.0004692146,0.001759403,0.0007801206,0.0008082834,0.0004290882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858079,"about_ca_system_score_gemma":0.001985353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261197,"about_ca_topic_score_gemma":0.006606286,"domain_scores_codex":[0.9967697,0.001702506,0.000218404,0.0004443063,0.0006789826,0.0001862317],"domain_scores_gemma":[0.9775049,0.0174459,0.0005875623,0.0008055253,0.003431142,0.0002249806],"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":[0.002091444,0.0006989287,0.02298581,0.0005059304,0.001328758,0.00006944966,0.0005826584,0.4642922,0.002827847,0.01135371,0.003875773,0.4893875],"study_design_scores_gemma":[0.00006627002,0.0002043379,0.01113728,0.00005888453,0.0002220883,0.00008193173,0.0002369241,0.9806254,0.001174659,0.005506267,0.0006441486,0.00004189255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3864926,0.00585334,0.599419,0.001025089,0.0002334144,0.0003451481,0.000925191,0.001090204,0.004616022],"genre_scores_gemma":[0.7164248,0.001490225,0.2780885,0.0001605285,0.0001188361,0.0002052269,0.001899658,0.0001894478,0.001422828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01261197,"threshold_uncertainty_score":0.04573911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04973649816100603,"score_gpt":0.3060441777135275,"score_spread":0.2563076795525214,"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."}}