{"id":"W4255293191","doi":"10.1787/factbook-2010-6-en","title":"Trends in Migration","year":2010,"lang":"en","type":"book-chapter","venue":"OECD factbook ... Economy, environmental and social statistics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Emigration; Nationality; Net migration rate; Immigration; Population; Political science; Geography; Development economics; Economic geography; Demographic economics; Economics; Sociology; Population growth; Demography; Law","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":[0.0007236701,0.0003991203,0.0002457511,0.005417575,0.0005816882,0.002101958,0.0004166156,0.0004276853,0.02403606],"category_scores_gemma":[0.002326798,0.000160668,0.0004789195,0.01240864,0.0003017264,0.002120501,0.0008201278,0.0007148563,0.01066804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303298,"about_ca_system_score_gemma":0.001503279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045237,"about_ca_topic_score_gemma":0.02548615,"domain_scores_codex":[0.9993584,0.00008767647,0.00008816681,0.0001498393,0.0002317962,0.00008412518],"domain_scores_gemma":[0.9990366,0.0001331734,0.0001889133,0.00005141196,0.0005074522,0.00008253656],"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":[0.0001164023,0.00005382531,0.04454235,0.002290272,0.00008316861,0.000157994,0.004395132,0.0009653264,0.0007168842,0.07277396,0.2858879,0.5880169],"study_design_scores_gemma":[0.000004548885,0.00005766,0.0809641,0.0006180812,0.00002091194,0.0003688834,0.00122548,0.0002299576,0.0001610088,0.003026171,0.9133066,0.00001661156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1034218,0.1459302,0.00559477,0.01334344,0.004665596,0.0003074954,0.1218064,0.00140703,0.6035232],"genre_scores_gemma":[0.3001654,0.200801,0.01058481,0.002486361,0.001996778,0.0002899907,0.08558655,0.000672355,0.3974168],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02403606,"threshold_uncertainty_score":0.08040857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011267078297472,"score_gpt":0.2366394249571279,"score_spread":0.2253723466596559,"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."}}