{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009494279,0.0005012026,0.0005014263,0.0001840684,0.001558414,0.0002628184,0.0009218135,0.0001913529,0.001296311],"category_scores_gemma":[0.00004337934,0.0004665904,0.0002709562,0.0006342037,0.0007076793,0.00100247,0.00009261226,0.0004308908,0.0002735273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004652686,"about_ca_system_score_gemma":0.0005400997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003200624,"about_ca_topic_score_gemma":0.01611318,"domain_scores_codex":[0.9955899,0.0001840393,0.0008073604,0.0006846543,0.001333737,0.001400297],"domain_scores_gemma":[0.9983033,0.00003658013,0.0002154469,0.0004357118,0.0002813062,0.0007276724],"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":[0.001222207,0.001148916,0.09950532,0.0002773111,0.0009133363,0.0003019471,0.1524591,0.00002007147,0.009050176,0.07567796,0.003688977,0.6557347],"study_design_scores_gemma":[0.001783749,0.000659838,0.0556615,0.0001695602,0.0001191257,0.00002421374,0.01085401,0.00009573632,0.004723901,0.0004079897,0.9244604,0.001039944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6204733,0.0003709315,0.00297763,0.006391232,0.001920298,0.001550269,0.00002924701,0.000406549,0.3658805],"genre_scores_gemma":[0.9869317,0.001681602,0.0004751123,0.0006753056,0.001282524,0.0001130857,0.00002839711,0.00007009869,0.008742159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9207715,"threshold_uncertainty_score":0.9997786,"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."}}