{"id":"W4387376949","doi":"10.59934/jaiea.v3i1.264","title":"Classification Of Population Data On Status In The Family Based On Last Education And Work Using The Clustering Method (Case Study: Sei Prison Village Office)","year":2023,"lang":"en","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":"Census; Population; Cluster (spacecraft); Geography; Work (physics); Cluster analysis; Demography; Computer science; Sociology; Statistics; Engineering; Mathematics","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":[0.000906955,0.0002911562,0.0002845236,0.005778721,0.0008057281,0.0006231882,0.0005059899,0.0003757847,0.003741629],"category_scores_gemma":[0.003151754,0.0001226321,0.00040652,0.006023544,0.000249185,0.0003697995,0.0006065779,0.0003014326,0.001211703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008914932,"about_ca_system_score_gemma":0.001266246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04026188,"about_ca_topic_score_gemma":0.04094701,"domain_scores_codex":[0.999095,0.0001642763,0.000168835,0.0001683175,0.0002905748,0.0001130129],"domain_scores_gemma":[0.997912,0.0003909617,0.0002869154,0.0002393126,0.001042845,0.0001279494],"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":[0.0003838834,0.000421183,0.7323386,0.0005492093,0.0001114554,0.001357531,0.006860235,0.004232779,0.005214258,0.003217055,0.02660996,0.2187038],"study_design_scores_gemma":[0.00003241547,0.0003227652,0.9005759,0.0002468134,0.00008940686,0.001107904,0.02023679,0.01960276,0.006848126,0.001254983,0.04959758,0.0000845706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070981,0.0002209464,0.02373314,0.0004539148,0.00009344341,0.00171883,0.0468566,0.0006408343,0.01918413],"genre_scores_gemma":[0.886542,0.0002474729,0.05659223,0.0000496622,0.00002571232,0.001245174,0.04284757,0.00007031057,0.01237988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04026188,"threshold_uncertainty_score":0.08005506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025021921353653,"score_gpt":0.3786643740238533,"score_spread":0.276162181888488,"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."}}