{"id":"W3026810776","doi":"10.33795/jip.v6i3.318","title":"PENGEMBANGAN SISTEM INFORMASI PEMETAAN INFRASTRUKTUR SISTEM INFORMASI DI KOTA PROBOLINGGO","year":2020,"lang":"id","type":"article","venue":"Jurnal Informatika Polinema","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Cluster analysis; Computer science; Humanities; Artificial intelligence; Art","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":[0.002155623,0.0009945381,0.0008390145,0.002257513,0.002585323,0.008982461,0.001020566,0.001885244,0.03016706],"category_scores_gemma":[0.005965345,0.0006891717,0.0008096375,0.003654948,0.001805566,0.007191759,0.003418778,0.002272416,0.01588927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232473,"about_ca_system_score_gemma":0.003807294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007720915,"about_ca_topic_score_gemma":0.00729315,"domain_scores_codex":[0.9968923,0.0006177975,0.0002085503,0.0006023745,0.001317776,0.0003611914],"domain_scores_gemma":[0.9940182,0.001859442,0.0005136892,0.001007309,0.002018704,0.0005826899],"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":[0.0006523638,0.000557532,0.02872522,0.002981107,0.0002435665,0.001731757,0.008857369,0.008213416,0.03509557,0.1118905,0.06628779,0.7347639],"study_design_scores_gemma":[0.00007483616,0.0004084562,0.04922472,0.00102548,0.0002529165,0.001978891,0.01177144,0.01921535,0.02780493,0.05910603,0.8288366,0.0003003817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1569389,0.01046399,0.211469,0.01496024,0.001331952,0.00076759,0.00311306,0.008715412,0.5922399],"genre_scores_gemma":[0.6720487,0.01052819,0.07623778,0.002044766,0.0006771442,0.0005105239,0.003531427,0.001198401,0.233223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03016706,"threshold_uncertainty_score":0.1009188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929996196756253,"score_gpt":0.2654945144754319,"score_spread":0.2361945525078694,"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."}}