{"id":"W2557517892","doi":"10.21609/jsi.v12i2.481","title":"VISUALISASI DATA INTERAKTIF DATA TERBUKA PEMERINTAH PROVINSI DKI JAKARTA: TOPIK EKONOMI DAN KEUANGAN DAERAH","year":2016,"lang":"en","type":"article","venue":"Jurnal Sistem Informasi","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Computer science; Data science; Data visualization; Quarter (Canadian coin); World Wide Web; Data mining; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0009119696,0.0003024241,0.0003074522,0.0001492676,0.0003533144,0.0007177923,0.008151279,0.00009299805,0.000006927117],"category_scores_gemma":[0.0003092793,0.0002149006,0.00006399228,0.0003080253,0.0001056011,0.005196786,0.006173058,0.0003334678,0.0001440651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008806303,"about_ca_system_score_gemma":0.0002459793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000774369,"about_ca_topic_score_gemma":0.0001229409,"domain_scores_codex":[0.9973902,0.00008227317,0.0007296292,0.0008627601,0.0004122223,0.0005229021],"domain_scores_gemma":[0.9932243,0.0002062028,0.0003976121,0.005798667,0.0000992709,0.0002739732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002706078,0.0001268823,0.01155742,0.00005325337,0.00008884667,0.00001375894,0.0007510571,0.000006751555,0.0004436678,0.03578423,0.01535674,0.9357903],"study_design_scores_gemma":[0.0005658751,0.0001195721,0.0120541,0.0001224576,0.00002268621,0.0001472547,0.0001017005,0.01473919,0.0002697971,0.00002045749,0.9714659,0.0003709942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.16278,0.000276833,0.7348547,0.02470722,0.003289149,0.001464748,0.000830796,0.002133542,0.06966295],"genre_scores_gemma":[0.9713989,0.00008631919,0.01895478,0.001853049,0.0007906464,0.00006908729,0.001895607,0.00005532784,0.004896269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9561092,"threshold_uncertainty_score":0.9972151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06894903330201307,"score_gpt":0.3238826768715423,"score_spread":0.2549336435695292,"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."}}