{"id":"W4415359978","doi":"10.59934/jaiea.v5i1.1500","title":"Grouping of Flood Victim Data Based on Damage Rate Using K-Means Algorithm Case Study: Binjai City Social Service","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":"Flood myth; Cluster analysis; Service (business); Cluster (spacecraft); Test data; Food aid","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00248233,0.0004053428,0.0006443235,0.0009134007,0.0008406917,0.000410882,0.001759337,0.0001702152,0.00001034479],"category_scores_gemma":[0.0002057798,0.0004427049,0.0001288838,0.002953869,0.0001248063,0.0006851531,0.0006486074,0.0009555987,0.000006615471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082318,"about_ca_system_score_gemma":0.0004523995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007057279,"about_ca_topic_score_gemma":0.00005396627,"domain_scores_codex":[0.9966058,0.0001837109,0.001604853,0.0007568137,0.0004249724,0.0004238488],"domain_scores_gemma":[0.9962074,0.0005999575,0.0008540213,0.00146168,0.0006866373,0.0001903269],"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":[0.00004606539,0.001898985,0.0002114422,0.0002769461,0.0003409726,0.0001301181,0.003603075,0.5087673,0.002565394,0.004356391,0.00006423033,0.4777391],"study_design_scores_gemma":[0.0001631128,0.0002329449,0.0003048789,0.0002746136,0.000368989,0.0001545523,0.003060742,0.9929325,0.0007628709,0.0002198618,0.001197064,0.0003278968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1066541,0.0001306475,0.8910261,0.001095443,0.0003436426,0.0005161296,0.0001472768,0.00005599727,0.00003067223],"genre_scores_gemma":[0.8744991,0.00004214011,0.12483,0.0001565824,0.0003800577,0.00002888518,0.00002300454,0.00003157111,0.000008702553],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.767845,"threshold_uncertainty_score":0.9998025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07971519573225548,"score_gpt":0.3498206679061903,"score_spread":0.2701054721739348,"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."}}