{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002961139,0.0005685065,0.0003795736,0.001131428,0.003241415,0.008116364,0.001043889,0.002334904,0.05638298],"category_scores_gemma":[0.004110648,0.0003759614,0.0005354163,0.001551923,0.001763945,0.004999523,0.006682319,0.003135144,0.01910533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005229316,"about_ca_system_score_gemma":0.01070617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01683921,"about_ca_topic_score_gemma":0.02372303,"domain_scores_codex":[0.9973394,0.0006137275,0.0001255916,0.0004184809,0.0008968553,0.0006060243],"domain_scores_gemma":[0.9966946,0.0005492175,0.0002659883,0.0003777385,0.001162168,0.0009502686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003037153,0.000508288,0.01635398,0.001704646,0.00007889391,0.0009907238,0.013221,0.0009863038,0.009974757,0.252265,0.2086799,0.4949327],"study_design_scores_gemma":[0.00001534485,0.00007687087,0.006477858,0.0002951374,0.00002147274,0.0002254217,0.003676407,0.0003083018,0.001632388,0.006122054,0.9811162,0.00003246947],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05052076,0.006383675,0.02556795,0.04160479,0.002402746,0.0006191549,0.00180511,0.001979765,0.8691159],"genre_scores_gemma":[0.3060839,0.007270193,0.02358283,0.008877982,0.0005146561,0.0005757304,0.001707488,0.0006007553,0.6507865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05638298,"threshold_uncertainty_score":0.1886199,"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."}}