{"id":"W2947432535","doi":"10.24900/ijss/0301189198.2019.0501","title":"SUBSPACE CLUSTERING ANALYSIS USING DBSCAN AND SUBCLU FOR PROJECTING STMIK JAKARTA ALUMNI JOB","year":2019,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; DBSCAN; Subspace topology; Computer science; Artificial intelligence; Fuzzy clustering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930392,0.00009258972,0.0001764549,0.0006699482,0.000209275,0.0004205256,0.001618714,0.00002293297,0.000005551299],"category_scores_gemma":[0.0002579534,0.00008281431,0.00009496482,0.0009382765,0.0001023841,0.001344009,0.0003064188,0.0001546301,0.000002834229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273467,"about_ca_system_score_gemma":0.0002379226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009315849,"about_ca_topic_score_gemma":0.00002569855,"domain_scores_codex":[0.9984555,0.00002766341,0.0003627102,0.0003081114,0.0006399198,0.0002060858],"domain_scores_gemma":[0.9983042,0.0002296515,0.0004540352,0.0002549397,0.0006555865,0.0001015636],"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":[0.0002532921,0.0002055003,0.4384494,0.00005496677,0.001193746,0.00002932304,0.01442046,0.2427759,0.07922865,0.05649668,0.0001742292,0.1667179],"study_design_scores_gemma":[0.0004682934,0.00009086224,0.04965562,0.00006103845,0.00005468851,0.0002096233,0.0003043574,0.9467736,0.0004801759,0.0003962237,0.001354625,0.0001509053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4017076,0.00003303981,0.5962404,0.001249856,0.0004507856,0.00007874431,0.00000619621,0.00001466859,0.0002187157],"genre_scores_gemma":[0.8621376,0.00001408598,0.1375617,0.0001027485,0.00009112502,0.000001307913,0.000001388781,0.000004453268,0.00008556846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7039977,"threshold_uncertainty_score":0.4055138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674340810502901,"score_gpt":0.329906611545044,"score_spread":0.313163203440015,"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."}}