{"id":"W4413332862","doi":"10.29313/bcsurp.v5i2.19666","title":"KomDesa: Inovasi Digital Partisipatif untuk Perencanaan Pembangunan Desa Cerdas","year":2025,"lang":"en","type":"article","venue":"Bandung Conference Series Urban & Regional Planning","topic":"Local Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Computer science","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":[0.0007923243,0.000453284,0.0003055784,0.0007094659,0.001982225,0.003019162,0.0006600639,0.0007187723,0.02337227],"category_scores_gemma":[0.001464349,0.000216309,0.000294703,0.0007508271,0.0009081357,0.002720369,0.002921691,0.00082081,0.003661144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006269714,"about_ca_system_score_gemma":0.001457935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460502,"about_ca_topic_score_gemma":0.003016713,"domain_scores_codex":[0.9996181,0.0001104928,0.00001886768,0.00006904764,0.0001172521,0.00006631614],"domain_scores_gemma":[0.9992141,0.000303832,0.00004832753,0.0001089586,0.0001305752,0.0001942265],"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":[0.001270078,0.0008476845,0.0081161,0.001996103,0.00005767545,0.003851212,0.03673871,0.002345728,0.0280374,0.0314787,0.04986202,0.8353985],"study_design_scores_gemma":[0.0001260574,0.000430559,0.01131021,0.0005288696,0.00008884029,0.001332283,0.02629352,0.003626731,0.0146405,0.009208274,0.9323171,0.00009705246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5843961,0.004256951,0.03617804,0.005232296,0.001162213,0.0006527836,0.001823265,0.005090523,0.3612078],"genre_scores_gemma":[0.7749096,0.002604462,0.04613261,0.000502833,0.0001698677,0.0005132072,0.001439204,0.0004385913,0.1732896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02337227,"threshold_uncertainty_score":0.078188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387115565308075,"score_gpt":0.3036786632946525,"score_spread":0.2649671067638451,"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."}}