{"id":"W3118302095","doi":"10.20527/jiep.v3i1.2223","title":"ANALISIS KETIMPANGAN PEMBANGUNAN DI KAWASAN BANUA ANAM DITINJAU DARI ASPEK EKONOMI,SOSIAL,DAN ANGGARAN","year":2020,"lang":"en","type":"article","venue":"JIEP Jurnal Ilmu Ekonomi dan Pembangunan","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":"Inequality; Typology; Index (typography); Human development (humanity); Geography; Human Development Index; Regional development; Regional science; Socioeconomics; Sociology; Economic growth; Economics; Mathematics; Computer 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":[0.0003127559,0.0002143162,0.0001801102,0.001273053,0.0008058497,0.000996509,0.0002182375,0.0001329386,0.005350874],"category_scores_gemma":[0.0007424594,0.00007338096,0.0001244389,0.002041771,0.0003397483,0.0004650184,0.0005681774,0.0003394773,0.0003973934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000989123,"about_ca_system_score_gemma":0.001062712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02437139,"about_ca_topic_score_gemma":0.05241041,"domain_scores_codex":[0.9998043,0.00004124373,0.00001502219,0.00003422338,0.0000572819,0.00004794876],"domain_scores_gemma":[0.9996191,0.0001396427,0.0000579097,0.00001526332,0.0001275361,0.00004051603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002502654,0.0002016286,0.7256325,0.000499256,0.0000861861,0.001943825,0.03423371,0.001148635,0.003627987,0.01431326,0.004710439,0.2133522],"study_design_scores_gemma":[0.000003620027,0.00005533715,0.8973872,0.0001780882,0.00004572577,0.0004559555,0.07106913,0.00109117,0.001115321,0.00113808,0.02744327,0.00001705362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768305,0.0006780268,0.0004278256,0.0002165585,0.00001691775,0.00002496021,0.0003479472,0.000009550546,0.02144774],"genre_scores_gemma":[0.9929101,0.0005106874,0.0006072101,0.00002459383,0.000005161123,0.00002765802,0.000409474,0.0000044976,0.005500575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02437139,"threshold_uncertainty_score":0.04845905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503567349665816,"score_gpt":0.2174839219504969,"score_spread":0.1824482484538387,"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."}}