{"id":"W4248147215","doi":"10.4095/301406","title":"Foreign-born Population, 2006 - Foreign-born Population (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Korean Peninsula Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Foreign born; Population; Geography; Demography; Genealogy; History; Sociology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006215942,0.001320736,0.0005208438,0.003977546,0.0009399179,0.0009934921,0.00138316,0.000437308,0.0110192],"category_scores_gemma":[0.002205033,0.0003799423,0.0005472482,0.006604106,0.0001573768,0.001003746,0.0008577601,0.001091739,0.01027195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003864411,"about_ca_system_score_gemma":0.008676548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7231317,"about_ca_topic_score_gemma":0.7499834,"domain_scores_codex":[0.9993013,0.00002721803,0.00006323549,0.00007650838,0.0003860219,0.0001457656],"domain_scores_gemma":[0.9983287,0.00003486129,0.0001372241,0.0000332435,0.001300231,0.0001657471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001232232,0.0001099404,0.06462891,0.0006801761,0.00005309259,0.0001086213,0.0003639092,0.0005596302,0.000232133,0.0007578384,0.9110683,0.02131424],"study_design_scores_gemma":[0.000100518,0.00008951974,0.6310322,0.0005008569,0.00006510525,0.0002750891,0.001248642,0.0006963591,0.0006358314,0.0001844138,0.3651384,0.00003312448],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01026499,0.0008237954,0.0001348835,0.0002049673,0.0002314838,0.0002436184,0.9738442,0.0001572708,0.0140948],"genre_scores_gemma":[0.02786332,0.003549124,0.0009883441,0.0002509852,0.00008602894,0.0006382288,0.936838,0.0000696309,0.02971633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2768683,"threshold_uncertainty_score":0.5569977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03775951380850254,"score_gpt":0.3297180182005735,"score_spread":0.2919585043920709,"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."}}