{"id":"W4377001969","doi":"10.33558/an-nizam.v2i1.6293","title":"PELATIHAN PEMBENTUKAN SISTEM PENGADUAN DAN KOTAK SARAN DARI MASYARAKAT UNTUK MENINGKATKAN KINERJA DESA","year":2023,"lang":"en","type":"article","venue":"An-Nizam","topic":"Legal and Policy Analysis in Indonesia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complaint; Socialization; Service (business); Presidential system; Community service; Public service; Quarter (Canadian coin); Political science; Public relations; Psychology; Public administration; Business; Law; Social psychology; Marketing; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001597853,0.0003290091,0.0004557162,0.0003019861,0.002034011,0.0004020985,0.0008821002,0.0002613527,0.000404468],"category_scores_gemma":[0.0002988143,0.0003114515,0.0002773333,0.002050417,0.0004288068,0.0006562644,0.0001520514,0.0004597496,0.0008551929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551689,"about_ca_system_score_gemma":0.0002272421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008014874,"about_ca_topic_score_gemma":0.01107761,"domain_scores_codex":[0.9961722,0.000815249,0.0004899246,0.000629827,0.0008983455,0.0009944232],"domain_scores_gemma":[0.9982477,0.0003026245,0.0001974936,0.0006290195,0.0001517783,0.0004714293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001572007,0.0006533963,0.1951591,0.0001774958,0.0007074409,0.0004308697,0.2461006,0.001395248,0.005193851,0.4516884,0.06075609,0.03758026],"study_design_scores_gemma":[0.001135385,0.0003330552,0.0504243,0.0001134554,0.0003686363,0.00001489299,0.03641462,0.003033692,0.001216095,0.007150505,0.8981935,0.001601917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7647356,0.0001049792,0.00007973883,0.004450914,0.0007940788,0.0003480192,0.00002782513,0.0007506951,0.2287081],"genre_scores_gemma":[0.9685938,0.00009635428,0.0001209546,0.0005056115,0.001287669,0.00003146602,0.0001430035,0.00004790627,0.0291732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8374374,"threshold_uncertainty_score":0.9999338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06207074980738207,"score_gpt":0.3748929092342783,"score_spread":0.3128221594268962,"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."}}