{"id":"W7132848771","doi":"10.33019/37tah858","title":"<b>Pengaruh Tingkat Pendidikan Terhadap Kemiskinan di Kabupaten Bangka Tengah</b>","year":2025,"lang":"","type":"article","venue":"Zoning","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":"Population; Bureaucracy; Statistical analysis; Research method","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":[0.0005072515,0.0005925998,0.0002800593,0.0007630712,0.001589869,0.002828695,0.0005619617,0.0008263178,0.05881363],"category_scores_gemma":[0.0006318047,0.0003144754,0.0003646436,0.001522776,0.0005698786,0.00104456,0.001597907,0.001053683,0.01877982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003510281,"about_ca_system_score_gemma":0.00677231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1071143,"about_ca_topic_score_gemma":0.1525038,"domain_scores_codex":[0.9995825,0.00004326988,0.00001557346,0.00007607033,0.0001274926,0.0001551028],"domain_scores_gemma":[0.9994621,0.0000437148,0.00006457172,0.00004585856,0.0002190558,0.0001646662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001285729,0.0003654658,0.1140879,0.002003577,0.0001120076,0.002643978,0.005718346,0.002039017,0.04556507,0.0496912,0.2011524,0.5753353],"study_design_scores_gemma":[0.00002514399,0.0001031129,0.09263268,0.0001854506,0.0000281186,0.0003313315,0.002652452,0.0005965379,0.005325123,0.001146609,0.8969442,0.00002915964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2204792,0.006243783,0.007375266,0.009223727,0.001258944,0.0003269767,0.0176274,0.00145977,0.7360048],"genre_scores_gemma":[0.3008936,0.002879191,0.005554953,0.0008979306,0.00008702581,0.0001723489,0.008316413,0.0003784779,0.6808201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1071143,"threshold_uncertainty_score":0.2129817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878685370974663,"score_gpt":0.2145716768209056,"score_spread":0.195784823111159,"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."}}