{"id":"W7089583411","doi":"10.23960/jrl.v3i1.41","title":"PERAN KELEMBAGAAN DALAM PENUNTASAN RUMAH TIDAK LAYAK HUNI (RTLH) DI BANYUASIN DAN SOLUSI PENERAPAN DIMENSI SMART PEOPLE DAN SMART GOVERNMENT","year":2025,"lang":"id","type":"article","venue":"Jurnal Rekayasa Lampung","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Local government; Government (linguistics); Environmental consciousness","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"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007990297,0.001461855,0.001609562,0.0004300999,0.001245644,0.0008338531,0.001515745,0.0008624849,0.0002380818],"category_scores_gemma":[0.0004145732,0.001526514,0.000794964,0.001215917,0.0003510343,0.0006222295,0.001322499,0.002090187,0.00009533961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686594,"about_ca_system_score_gemma":0.0003569869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004496338,"about_ca_topic_score_gemma":0.004338417,"domain_scores_codex":[0.9929393,0.0002338266,0.001613496,0.001390662,0.001583604,0.002239126],"domain_scores_gemma":[0.9964927,0.0004415784,0.0004062386,0.001890895,0.0002052349,0.0005632968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004191943,0.001386925,0.7800525,0.002473728,0.003305024,0.0005349913,0.004880668,0.002591392,0.06888327,0.06469401,0.03424154,0.03653675],"study_design_scores_gemma":[0.004038803,0.0007486817,0.4838022,0.001910187,0.0008186808,0.0001588023,0.006666934,0.01058767,0.02892261,0.0003835524,0.4590307,0.002931187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377989,0.003575409,0.0004128827,0.003036172,0.004618522,0.001022258,0.00007444637,0.001129113,0.04833233],"genre_scores_gemma":[0.9769238,0.001939974,0.0005021071,0.0004257106,0.0005958795,0.0001313898,0.0001360822,0.0002757368,0.01906927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4247892,"threshold_uncertainty_score":0.9998131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007264560755155503,"score_gpt":0.2124327724641996,"score_spread":0.2051682117090441,"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."}}