{"id":"W4386564106","doi":"10.29313/bcss.v3i2.7669","title":"Perkiraan Migrasi Perkelompok Umur Provinsi Banten Tahun 2020","year":2023,"lang":"en","type":"article","venue":"Bandung Conference Series Statistics","topic":"Food Security and Socioeconomic Dynamics","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Census; Demography; Geography; Population; Net migration rate; Socioeconomics; Population growth; Economics; Sociology","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":[0.0003201939,0.0002958223,0.00015958,0.0006153499,0.0003617328,0.0008423858,0.0003306542,0.0001815659,0.01387607],"category_scores_gemma":[0.0004104027,0.0001135185,0.0002436002,0.0007312518,0.0001687449,0.0006194448,0.0005559921,0.0003697371,0.003042039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008502837,"about_ca_system_score_gemma":0.001455837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02186963,"about_ca_topic_score_gemma":0.03598772,"domain_scores_codex":[0.9998634,0.00002739591,0.00001153694,0.00002870727,0.00003672035,0.00003225768],"domain_scores_gemma":[0.999872,0.00001726924,0.0000306379,0.00000621359,0.00005458427,0.00001929966],"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":[0.0002152489,0.0001835865,0.2715495,0.001358428,0.000131188,0.001379527,0.002736338,0.002910326,0.003997173,0.01559937,0.06546891,0.6344703],"study_design_scores_gemma":[0.0000276883,0.0001609937,0.4793536,0.0007471134,0.0001501891,0.001623131,0.008854334,0.007012362,0.003842146,0.003397356,0.4947648,0.00006628118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7064606,0.01906691,0.01068192,0.007624896,0.002464585,0.0002528685,0.01736411,0.0008986751,0.2351854],"genre_scores_gemma":[0.8324124,0.01265628,0.01726597,0.0006550634,0.0002046062,0.0002410167,0.01031561,0.0001004763,0.1261486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02186963,"threshold_uncertainty_score":0.0464201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937519884728804,"score_gpt":0.2172894602078659,"score_spread":0.1979142613605778,"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."}}