{"id":"W3092430977","doi":"","title":"저출산 고령화시대 미국, 캐나다, 호주의 이민정책 비교 연구: 이민인구와 최근 경향을 중심으로","year":2020,"lang":"ko","type":"article","venue":"한국비교정부학보","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Immigration policy; Population; Demographic economics; Political science; Geography; Economic growth; Development economics; Demography; Economics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000266994,0.0005296482,0.0006405851,0.00003201336,0.0007820598,0.0001617096,0.0007713949,0.0002761282,0.008361363],"category_scores_gemma":[0.000202592,0.0005185879,0.0003498553,0.0006127011,0.0008627149,0.0002879815,0.0008676837,0.0005333494,0.01914032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542671,"about_ca_system_score_gemma":0.0000468004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072934,"about_ca_topic_score_gemma":0.0004184937,"domain_scores_codex":[0.9964767,0.0001676957,0.0005431622,0.0009452112,0.0008631353,0.00100407],"domain_scores_gemma":[0.9985821,0.000120185,0.0002010002,0.0004402139,0.00002226233,0.000634219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001826572,0.0005606349,0.3470692,0.0001912573,0.0004086406,0.0003701069,0.0318716,0.0001507706,0.005016752,0.00311282,0.5478173,0.06324821],"study_design_scores_gemma":[0.001296306,0.0005058121,0.3415613,0.00007429728,0.0001886122,0.000006337921,0.003623859,0.0005936923,0.001658531,0.001002723,0.6482045,0.00128407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6774549,0.00682936,0.0003385886,0.04095711,0.002490523,0.001312036,0.0003376589,0.0005402146,0.2697395],"genre_scores_gemma":[0.9806262,0.00151205,0.000297697,0.007123459,0.00124785,0.0000191171,0.00001649974,0.00007045551,0.009086649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3031713,"threshold_uncertainty_score":0.9997266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366460178079584,"score_gpt":0.2139006377716335,"score_spread":0.1902360359908376,"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."}}