{"id":"W2978324763","doi":"10.33701/jt.v10i1.403","title":"PERAN PEMERINTAH DAERAH DALAM MENGENTASKAN KEMISKINAN DI KABUPATEN TANGERANG PROVINSI BANTEN","year":2018,"lang":"en","type":"article","venue":"TRANSFORMASI Jurnal Manajemen Pemerintahan","topic":"Local Governance and Development","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Poverty; Local government; Government (linguistics); Natural resource; Business; Scope (computer science); Economic growth; Field research; Basic needs; Socioeconomics; Political science; Economics; Sociology; Public administration; Social 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":[0.000277992,0.0002025297,0.0001587795,0.0003015369,0.001841611,0.001220792,0.0002738076,0.0002824137,0.02302255],"category_scores_gemma":[0.0003265096,0.0001067326,0.0001049373,0.0004984558,0.0006252413,0.0007657413,0.001138906,0.0005263966,0.001152792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336821,"about_ca_system_score_gemma":0.0018129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004444268,"about_ca_topic_score_gemma":0.01346309,"domain_scores_codex":[0.9998733,0.00003031015,0.000007725135,0.00002318353,0.00002904385,0.00003637492],"domain_scores_gemma":[0.9998688,0.00003513814,0.00002477722,0.000008157619,0.00002542823,0.00003779117],"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":[0.0005673872,0.000473781,0.1409742,0.003266441,0.00007463968,0.01460442,0.08488705,0.001069231,0.02179804,0.1395535,0.0421754,0.5505559],"study_design_scores_gemma":[0.00003515085,0.0002233285,0.184397,0.0008267245,0.00005284599,0.004396766,0.05109033,0.0006369941,0.004465809,0.00496729,0.7488652,0.00004253185],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7547935,0.008427989,0.001964436,0.005068946,0.0003930631,0.0001307391,0.0004034954,0.0001107547,0.2287071],"genre_scores_gemma":[0.9269693,0.002563317,0.001770157,0.0002336433,0.00003153727,0.00006764798,0.0001338918,0.00001346113,0.06821707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02302255,"threshold_uncertainty_score":0.07701802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851157951553502,"score_gpt":0.2921174462660925,"score_spread":0.2736058667505575,"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."}}