{"id":"W4387376623","doi":"10.59934/jaiea.v3i1.296","title":"Application of the Clustering Algorithm for the Classification of General Criminal Cases at the Binjai District Attorney's 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":"Cluster analysis; Commission; Mathematics; Law; Computer science; Artificial intelligence; Political science","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":[0.0007474489,0.0001136812,0.0001537823,0.0001167926,0.0003663268,0.00006530811,0.0009462165,0.00004672692,0.00000130567],"category_scores_gemma":[0.0001470694,0.00006892339,0.0001170083,0.0009228034,0.000130635,0.0001253579,0.0001916449,0.0001778106,0.000005550467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003757692,"about_ca_system_score_gemma":0.000053084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000658448,"about_ca_topic_score_gemma":0.00001508493,"domain_scores_codex":[0.9988169,0.00002988318,0.0005734139,0.0001839215,0.0002377468,0.0001581419],"domain_scores_gemma":[0.9977526,0.0008710275,0.0004885857,0.0006046357,0.0002388259,0.00004431636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001188301,0.00006284523,0.0000874952,0.00005724846,0.00005058632,2.346584e-7,0.0005832433,0.1041116,0.02633524,0.03503634,0.0004912025,0.8331721],"study_design_scores_gemma":[0.00003123389,0.00005544953,0.007503312,0.00002328705,0.00007306082,0.00004655278,0.0003188421,0.9688802,0.009010708,0.0003625429,0.01360726,0.00008757009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02074007,0.0002128322,0.9768847,0.001565652,0.0001413776,0.0003690262,0.00003911746,0.00003304635,0.00001418241],"genre_scores_gemma":[0.9763765,0.0001806673,0.0228346,0.00002930288,0.000244137,0.0002322407,0.00001561827,0.00001527993,0.0000716326],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9556364,"threshold_uncertainty_score":0.2817527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04791890014761653,"score_gpt":0.304206370956922,"score_spread":0.2562874708093055,"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."}}