{"id":"W4293213150","doi":"10.56354/jendelainovasi.v5i2.118","title":"PENGARUH BANTUAN PANGAN NON TUNAI TERHADAP TINGKAT KEMISKINAN DI KOTA MAGELANG MELALUI ANALISIS SIMULASI","year":2022,"lang":"en","type":"article","venue":"Jurnal Jendela Inovasi Daerah","topic":"Local Governance and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Poverty; Cash; Poverty reduction; Per capita; Business; Poor people; Government (linguistics); Economics; Economic growth; Environmental health; Finance","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":[0.0005052566,0.0003524705,0.0003132794,0.001674373,0.001122602,0.002204277,0.0003185876,0.0002371939,0.01895585],"category_scores_gemma":[0.0009341225,0.0001886717,0.0003636216,0.002642475,0.0005988074,0.001132387,0.0009753318,0.0005757932,0.001908465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261823,"about_ca_system_score_gemma":0.001093035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01881144,"about_ca_topic_score_gemma":0.04059601,"domain_scores_codex":[0.9996461,0.00007155492,0.00002130999,0.00006777902,0.00008962477,0.0001036529],"domain_scores_gemma":[0.9993989,0.000210395,0.00009824568,0.00004321621,0.0001934737,0.00005565431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001067317,0.0005545064,0.6180132,0.001746384,0.0004605559,0.004664834,0.0551994,0.003306969,0.01445015,0.03684405,0.01919381,0.2444988],"study_design_scores_gemma":[0.00002770232,0.000273252,0.6676245,0.0004574239,0.0002573508,0.002004916,0.14155,0.004556849,0.006649229,0.003940513,0.1725805,0.00007775096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316881,0.001048575,0.002140354,0.0005473651,0.00005134647,0.0001022841,0.001884472,0.00009575024,0.06244189],"genre_scores_gemma":[0.9736624,0.0008793781,0.00226411,0.00005859591,0.000008332142,0.00007584458,0.001099492,0.00003410703,0.02191772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01895585,"threshold_uncertainty_score":0.06341368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918255551728477,"score_gpt":0.2800046038036029,"score_spread":0.2608220482863181,"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."}}