{"id":"W4395075257","doi":"10.25105/ja.v4i1.18309","title":"PENYULUHAN KEPADA APARAT KANTOR KELURAHAN TENTANG CARA MENGENALI WILAYAH KERJANYA DENGAN MENGGUNAKAN PETA","year":2024,"lang":"id","type":"article","venue":"JURNAL ABDIKARYASAKTI","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102626,0.0008055212,0.0005132591,0.001279992,0.003404045,0.005909177,0.000908904,0.001681061,0.06481611],"category_scores_gemma":[0.001146208,0.0004344841,0.0007252331,0.001165566,0.002000499,0.003984249,0.00392312,0.002651537,0.02103934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107661,"about_ca_system_score_gemma":0.00293454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004126193,"about_ca_topic_score_gemma":0.009244885,"domain_scores_codex":[0.9989343,0.0001577687,0.00004260534,0.0002229919,0.0004090914,0.0002332138],"domain_scores_gemma":[0.9990284,0.0001337279,0.00009555185,0.0001381395,0.0003874444,0.0002168085],"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":[0.0009063042,0.0006162921,0.02050331,0.002630171,0.0001913305,0.003844662,0.01960634,0.001059824,0.08547933,0.1583042,0.05932776,0.6475305],"study_design_scores_gemma":[0.00001408055,0.000205368,0.01438493,0.0003445149,0.00006089511,0.00115593,0.007107773,0.0002865304,0.01274869,0.006606438,0.9570212,0.00006353066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1552854,0.01346097,0.01641789,0.00982496,0.001902496,0.0002408755,0.0009953218,0.001084567,0.8007876],"genre_scores_gemma":[0.3176684,0.007073917,0.01163553,0.001469294,0.0002806627,0.0001246885,0.0006434603,0.0005043536,0.6605997],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06481611,"threshold_uncertainty_score":0.2168315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552914014399515,"score_gpt":0.2300975364266509,"score_spread":0.2045683962826558,"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."}}