{"id":"W4409602151","doi":"10.61091/jcmcc127b-019","title":"Association rule mining for college students’ physical fitness and athletic performance: an empirical analysis based on the Apriori algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Association rule learning; Apriori algorithm; Association (psychology); Computer science; Empirical research; Data mining; Psychology; Artificial intelligence; Statistics; Mathematics","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":[0.00217155,0.000185992,0.0007544716,0.0002475671,0.0004824525,0.0001239691,0.0001486011,0.0001142608,0.00000199376],"category_scores_gemma":[0.0007086278,0.0001329835,0.0001811775,0.0005629359,0.00006382325,0.00007444251,0.00009204188,0.0003084737,2.616883e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900641,"about_ca_system_score_gemma":0.0002107939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002651514,"about_ca_topic_score_gemma":1.013542e-7,"domain_scores_codex":[0.9981993,0.0001149813,0.0006025466,0.0001919877,0.0006615584,0.0002296553],"domain_scores_gemma":[0.9962526,0.0021919,0.0005485063,0.0001809747,0.0007058632,0.0001201527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001936563,0.01348185,0.6310746,0.002932962,0.009086226,0.00003004321,0.02382671,0.0003460723,0.0000521732,0.282491,0.005788952,0.02895282],"study_design_scores_gemma":[0.02079594,0.006379504,0.09982808,0.001565962,0.009485108,0.00002679224,0.01592525,0.7234478,0.0003527671,0.1198309,0.00165905,0.0007028629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925589,0.00005650957,0.001851165,0.00140035,0.003532323,0.0004193884,0.000004719746,0.00001409415,0.0001625411],"genre_scores_gemma":[0.9948935,0.00002093249,0.003909997,0.000205398,0.0009132721,0.00001071117,0.000003127917,0.00001226229,0.00003080449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7231017,"threshold_uncertainty_score":0.542291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04035578463883002,"score_gpt":0.3599103767384159,"score_spread":0.3195545920995858,"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."}}