{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011627,0.001198775,0.00128688,0.0005113755,0.001255628,0.002686079,0.00411556,0.0005057123,0.00004840744],"category_scores_gemma":[0.000869949,0.001123969,0.0006382915,0.00211859,0.0003083235,0.006446047,0.002385326,0.002644622,0.001510733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021833,"about_ca_system_score_gemma":0.001229561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004950636,"about_ca_topic_score_gemma":0.00002323087,"domain_scores_codex":[0.9922153,0.0001785187,0.00340583,0.0007614204,0.001628776,0.001810097],"domain_scores_gemma":[0.9931476,0.0002880517,0.002323317,0.001783357,0.000697238,0.001760432],"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":[0.0003633176,0.0006974426,0.008347677,0.005687858,0.001294468,0.00009962518,0.121422,0.01588687,0.0003440647,0.2311919,0.06747198,0.5471928],"study_design_scores_gemma":[0.001743366,0.0008810909,0.007283901,0.0003375402,0.0001633207,0.0003229199,0.001489761,0.2270359,0.0002884938,0.00005476614,0.7591578,0.001241134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1080201,0.002224684,0.2337559,0.08826029,0.006103862,0.007000281,0.0004316908,0.006074069,0.5481291],"genre_scores_gemma":[0.9261879,0.0007102264,0.02804465,0.02412304,0.003386046,0.0003152295,0.001403177,0.0002330355,0.01559675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8181677,"threshold_uncertainty_score":0.9996563,"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."}}