{"id":"W4389290533","doi":"10.14710/jpk.11.1.15-25","title":"MODEL POTENSI PENDUDUK KOTA METROPOLITAN SEMARANG","year":2023,"lang":"id","type":"article","venue":"Jurnal Pengembangan Kota","topic":"Public Administration in Developing Nations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Geography; Art","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":[0.0004786863,0.0008349702,0.0006633884,0.0007024358,0.0007994614,0.003322098,0.001260072,0.001370833,0.02023054],"category_scores_gemma":[0.001503125,0.0004849804,0.001163757,0.001220105,0.0005235396,0.00189884,0.001350959,0.001212505,0.002356359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533204,"about_ca_system_score_gemma":0.002617199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08240417,"about_ca_topic_score_gemma":0.07525975,"domain_scores_codex":[0.9996998,0.00007396335,0.0000164988,0.00008575906,0.00005920014,0.00006484122],"domain_scores_gemma":[0.9995793,0.0001775402,0.00003870922,0.00003967006,0.00011652,0.00004827319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003993035,0.0003497795,0.05835341,0.0004873952,0.0002692197,0.001078105,0.00148299,0.807497,0.003725126,0.08002186,0.01069166,0.03564424],"study_design_scores_gemma":[0.0000769445,0.0001385671,0.01832409,0.0001368506,0.0002346051,0.000189079,0.002571085,0.9167815,0.001876815,0.02582913,0.03375876,0.00008244547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7751632,0.001309301,0.07551272,0.003581145,0.0003475645,0.000247924,0.009696545,0.001049867,0.1330919],"genre_scores_gemma":[0.9507108,0.0006913639,0.009651928,0.00010511,0.00002507529,0.0001346717,0.003650572,0.0001550568,0.03487548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08240417,"threshold_uncertainty_score":0.1638491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07607213075362441,"score_gpt":0.3525931678827201,"score_spread":0.2765210371290957,"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."}}