{"id":"W2313664757","doi":"10.14710/tataloka.15.2.116-128","title":"ZONA PERI-URBAN SEMARANG METROPOLITAN: PERKEMBANGAN DAN TIPOLOGI SOSIAL EKONOMI","year":2013,"lang":"en","type":"article","venue":"Jurnal Tataloka","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Metropolitan area; Geography; Font; Descriptive statistics; Socioeconomics; Sociology; Computer science; Archaeology; Statistics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003808455,0.0003293829,0.0006558199,0.0003413232,0.0002664383,0.0002745681,0.0005271907,0.000194947,0.0005672405],"category_scores_gemma":[0.0001836991,0.0003514375,0.0003225897,0.0001992732,0.0002612243,0.0007332564,0.0001465951,0.0003738145,0.003708327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003650781,"about_ca_system_score_gemma":0.0000354829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855413,"about_ca_topic_score_gemma":0.00005429463,"domain_scores_codex":[0.9976884,0.00003370897,0.0008988833,0.0005474912,0.00004938702,0.000782154],"domain_scores_gemma":[0.9986314,0.0001091992,0.0003861615,0.0004770994,0.00003799461,0.0003581302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003509886,0.0001295909,0.4508482,0.00004436863,0.0001487627,0.00001214842,0.0007220159,0.000008853384,0.0001885744,0.5162163,0.03073158,0.0009144408],"study_design_scores_gemma":[0.001978108,0.0004359884,0.7127015,0.00002475935,0.00003020913,0.0001136335,0.001909322,0.002114538,0.0005270218,0.02779932,0.2508808,0.001484865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8584199,0.001885641,0.0002435646,0.001774346,0.0008335306,0.0002779985,0.0002082199,0.00009311565,0.1362637],"genre_scores_gemma":[0.9947292,0.0001067116,0.0001949154,0.001220716,0.001082626,0.00006215088,0.00005939555,0.00005656243,0.002487727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4884171,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211152837324147,"score_gpt":0.2019600255074041,"score_spread":0.1808447417749894,"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."}}