{"id":"W4415359962","doi":"10.59934/jaiea.v5i1.1489","title":"Application of the K-Means Clustering Method to Cluster Stunting Cases Based on Family Economics in Langkat Regency","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster analysis; Cluster (spacecraft); Quality (philosophy); Process (computing); Euclidean distance; Developing country","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001551744,0.0002557844,0.0004076594,0.0007543105,0.000217188,0.0001754518,0.001120518,0.0001261566,0.000001958349],"category_scores_gemma":[0.0002664909,0.0002366097,0.0001468019,0.001633492,0.00006138317,0.0002025315,0.0002845197,0.0005531219,0.000009171982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144391,"about_ca_system_score_gemma":0.0002031955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002178098,"about_ca_topic_score_gemma":0.00007200995,"domain_scores_codex":[0.9976488,0.0001012265,0.001294852,0.0004490645,0.0002050248,0.0003010114],"domain_scores_gemma":[0.9974574,0.0008101134,0.0005498842,0.0008395376,0.0002278308,0.0001152758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000212577,0.0001126634,0.0002130347,0.00007189529,0.00001822922,4.648421e-7,0.0003530888,0.6515037,0.001977898,0.01535622,0.00003337291,0.3303382],"study_design_scores_gemma":[0.00007024586,0.0001119819,0.001908147,0.0004098236,0.0000530168,0.0000140164,0.0003238326,0.9841425,0.003914787,0.000879999,0.007974958,0.0001967214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01321813,0.0002076666,0.9819267,0.003573277,0.0002497161,0.0006085598,0.00002098438,0.00002339004,0.0001716233],"genre_scores_gemma":[0.8647147,0.00007803817,0.1344889,0.0003965207,0.0001391575,0.0001167828,0.000002995882,0.00002085594,0.00004202989],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8514966,"threshold_uncertainty_score":0.9648662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508013874655966,"score_gpt":0.3070625887070044,"score_spread":0.2819824499604447,"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."}}