{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001756974,0.000340006,0.0004365233,0.0001903145,0.002451313,0.0003187858,0.0009678969,0.0001397657,0.001882087],"category_scores_gemma":[0.0003062524,0.0003374591,0.0002672861,0.0009834856,0.0001976295,0.0005454533,0.0005165674,0.000923353,0.00008626492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009360909,"about_ca_system_score_gemma":0.0006980749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918145,"about_ca_topic_score_gemma":0.001542392,"domain_scores_codex":[0.9954344,0.0003734306,0.0006359363,0.0006251551,0.001958864,0.0009722144],"domain_scores_gemma":[0.9984143,0.0002904336,0.0003478351,0.0004249218,0.0001600455,0.0003624104],"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":[0.0006914047,0.002181783,0.3086619,0.0001687643,0.001001692,0.003321612,0.1407488,0.005023526,0.004940146,0.06689792,0.1226424,0.34372],"study_design_scores_gemma":[0.001704282,0.0003628805,0.1235482,0.0001071252,0.0001128523,0.0000713882,0.03529689,0.0008211239,0.001171265,0.0009679157,0.8345866,0.001249462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200802,0.0003955583,0.0003117748,0.002801723,0.001452111,0.0004542347,0.00004496226,0.0001921695,0.07426725],"genre_scores_gemma":[0.9925408,0.0002157295,0.0003143598,0.001827332,0.0006611584,0.00006619782,0.00003727772,0.00005007199,0.004287051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7119442,"threshold_uncertainty_score":0.9999077,"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."}}