{"id":"W2998439380","doi":"10.1177/0197918319895271","title":"Migration Diplomacy and Policy Liberalization in Morocco and Turkey","year":2020,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Carnegie Corporation of New York","keywords":"Geopolitics; Refugee; Diplomacy; Political science; Human rights; Incentive; State (computer science); Liberalization; Human migration; Foreign policy; Development economics; Political economy; Economic growth; Sociology; Politics; Economics; Population; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004042675,0.000387589,0.0004243297,0.00152552,0.0007219972,0.001922617,0.0005204014,0.0008816166,0.001325431],"category_scores_gemma":[0.002537512,0.0001478386,0.0003066501,0.002190752,0.001036926,0.001041484,0.0008984425,0.0007333628,0.0001165978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004677993,"about_ca_system_score_gemma":0.009853047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03042684,"about_ca_topic_score_gemma":0.03688396,"domain_scores_codex":[0.9985693,0.0007493319,0.0001265419,0.00008849084,0.0001623647,0.0003040546],"domain_scores_gemma":[0.9990607,0.000313738,0.0003262997,0.00002465779,0.0002093012,0.00006531535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006923736,0.0002419216,0.02792682,0.03200296,0.0005063857,0.001688575,0.006281782,0.003349365,0.001623068,0.100994,0.02298257,0.8017101],"study_design_scores_gemma":[0.0001246725,0.0004663866,0.1546547,0.02543505,0.0005286696,0.001186575,0.01584723,0.0004904479,0.001578077,0.003568606,0.7960442,0.00007542826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04809161,0.9348797,0.00012007,0.006157091,0.0006466301,0.00002303774,0.00007282779,0.000006184219,0.0100028],"genre_scores_gemma":[0.3897561,0.6052582,0.0003720433,0.002293048,0.000333447,0.00002873371,0.0001334917,0.000004246491,0.001820797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03042684,"threshold_uncertainty_score":0.06049943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390622007328455,"score_gpt":0.3516242663239534,"score_spread":0.3277180462506689,"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."}}