{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001890791,0.000232458,0.0002918891,0.00001599063,0.0003977521,0.0002388905,0.0003633778,0.0001514102,0.0007649362],"category_scores_gemma":[0.0001183499,0.0001174192,0.00007206899,0.0002619883,0.0002203837,0.0002338828,0.0001333325,0.0002190996,0.0003229929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000388324,"about_ca_system_score_gemma":0.00006619286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002810892,"about_ca_topic_score_gemma":0.008397885,"domain_scores_codex":[0.998527,0.0000798083,0.0003137758,0.000391531,0.0002039427,0.0004839537],"domain_scores_gemma":[0.999259,0.0002170643,0.0001075889,0.0001003353,0.0001553736,0.0001606189],"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":[0.0004045013,0.0003656057,0.0659252,0.0003230969,0.0002718402,0.0004464851,0.009925766,0.00004826963,0.03830857,0.3643264,0.1012213,0.4184329],"study_design_scores_gemma":[0.0007973828,0.001964191,0.5563997,0.0001329442,0.0001091818,0.00007915411,0.01887487,0.01867856,0.0005883727,0.03809698,0.3622098,0.002068855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990132,0.00007439614,0.0001240635,0.003328788,0.0004813997,0.0003239304,0.001995148,0.0003574625,0.003182834],"genre_scores_gemma":[0.9901267,0.0005228972,0.0007793417,0.0002240988,0.0002396335,0.00002881336,0.001422918,0.000003748395,0.006651906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4904745,"threshold_uncertainty_score":0.8375514,"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."}}