{"id":"W2138936825","doi":"10.5539/jgg.v6n4p80","title":"Dynamics of Urban Growth in Semarang Metropolitan – Central Java: An Examination Based on Built-Up Area and Population Change","year":2014,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Diponegoro","keywords":"Metropolitan area; Suburbanization; Geography; Java; Built-up area; Population; Population growth; Regional science; Economic geography; Land use; Computer science; Civil engineering; Demography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007461424,0.0001019958,0.0003898393,0.0009489447,0.00003440515,0.0000138599,0.00008055494,0.0001176893,0.000009422481],"category_scores_gemma":[0.000102004,0.0001052754,0.00007362447,0.0001387299,0.0001048543,0.0002326943,0.00001396564,0.0001318666,3.485785e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004145301,"about_ca_system_score_gemma":0.000003374748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727825,"about_ca_topic_score_gemma":0.000607646,"domain_scores_codex":[0.999037,0.00005859257,0.0005367956,0.000144216,0.0000244108,0.0001990229],"domain_scores_gemma":[0.9991858,0.0000982578,0.0005042222,0.0000867788,0.00003366034,0.00009128113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005272387,0.00005109447,0.8883463,0.00002543117,0.00001232244,5.716007e-7,0.0001605452,0.00001749181,0.000001199074,0.1101839,0.000004455949,0.001143998],"study_design_scores_gemma":[0.0007959882,0.0006038774,0.9449163,0.00001480515,0.000007550437,0.000006631147,0.00009956406,0.01579699,0.00000519983,0.03762623,0.00003516386,0.00009167707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966105,0.0004947913,0.0006575653,0.0007524128,0.0001952127,0.00006725024,0.00002400189,0.000003006671,0.001195317],"genre_scores_gemma":[0.9993988,0.0001616371,0.00009730807,0.0002131048,0.00009734974,0.000001885082,0.0000183556,0.000006615693,0.000004935536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0725577,"threshold_uncertainty_score":0.4293006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634975701979973,"score_gpt":0.2062080990364554,"score_spread":0.1898583420166557,"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."}}