{"id":"W4248433974","doi":"10.1787/migr_outlook-2017-6-en","title":"A portrait of family migration in OECD countries","year":2017,"lang":"en","type":"book-chapter","venue":"International migration outlook","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Family ties; Political science; Demographic economics; Geography; Genealogy; Economics; History","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":[],"category_scores_codex":[0.0005828444,0.0002575884,0.0003506746,0.0004579434,0.0001955424,0.0001969156,0.0005725574,0.0004540469,0.001966101],"category_scores_gemma":[0.0001809885,0.0002838438,0.0001855713,0.00002036542,0.0003640825,0.0004796112,0.00004054966,0.000275329,0.0002310546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003262308,"about_ca_system_score_gemma":0.0007637263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003592897,"about_ca_topic_score_gemma":0.3202192,"domain_scores_codex":[0.9976307,0.00004925799,0.0007506346,0.0003517941,0.001028505,0.0001891131],"domain_scores_gemma":[0.997892,0.0001104119,0.0009452758,0.0003092367,0.0006615328,0.00008154617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004931169,0.00003994171,0.002120703,0.0000210108,0.00007104971,0.0000117029,0.009693325,0.00007725609,0.00008250261,0.975425,0.010157,0.002251222],"study_design_scores_gemma":[0.000313607,0.00002840679,0.001644209,0.000207743,0.00002630859,0.000001094569,0.0004672825,0.0006531979,0.00002118419,0.01508675,0.9812651,0.0002850745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005404108,0.0003864817,0.0004435657,0.006503761,0.001443454,0.0005617813,0.0004211458,0.00007069931,0.984765],"genre_scores_gemma":[0.1326269,0.003496946,0.0002484759,0.0004806844,0.0005892597,0.00002871164,0.0006636187,0.00003852953,0.8618268],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9711081,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597911721719669,"score_gpt":0.3131107635863131,"score_spread":0.2871316463691164,"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."}}