{"id":"W4408241337","doi":"10.55927/marcopolo.v3i2.7","title":"KNN Algorithm Prediction of the Influence of Learning Interest on Free Fire Game Addiction in Elementary School Students 020259","year":2025,"lang":"en","type":"article","venue":"Indonesian Journal of Interdisciplinary Research in Science and Technology","topic":"Sports and Physical Education Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Mathematics education; Addiction; Psychology; Computer science; Artificial intelligence; Algorithm; Neuroscience","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":[0.001023792,0.0006281104,0.0006394522,0.002229987,0.0004741742,0.00086347,0.0005439742,0.0007499158,0.003176721],"category_scores_gemma":[0.004694456,0.0001890945,0.0008084856,0.001070846,0.0001798161,0.0005499995,0.0003671574,0.0007415805,0.0009576128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007695995,"about_ca_system_score_gemma":0.000900212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02475405,"about_ca_topic_score_gemma":0.01725476,"domain_scores_codex":[0.9994178,0.0001109695,0.00006464088,0.000166089,0.0001487989,0.00009163889],"domain_scores_gemma":[0.9973399,0.001490709,0.0002336608,0.0000837683,0.0006700699,0.0001819644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008468895,0.001191251,0.7994912,0.0001520519,0.0003051225,0.000269569,0.0003446242,0.04027762,0.001705144,0.0003951728,0.004029315,0.150992],"study_design_scores_gemma":[0.00004170616,0.0005447475,0.3938183,0.0001250563,0.0001430847,0.0003871171,0.001097904,0.5992243,0.001601772,0.001193911,0.001760972,0.00006107189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723533,0.0007141333,0.02077498,0.0003164656,0.000134428,0.0001747757,0.001505673,0.000246024,0.003780219],"genre_scores_gemma":[0.9850538,0.0002289554,0.01063324,0.00004110585,0.00002290979,0.000108529,0.001369391,0.00001942529,0.002522656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02475405,"threshold_uncertainty_score":0.04921991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779913864464351,"score_gpt":0.4957574021444989,"score_spread":0.4379582634998554,"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."}}