{"id":"W7027259649","doi":"","title":"Connecting the Dots: Emerging Migration Trends and Policy Questions in North and Central America","year":2018,"lang":"en","type":"article","venue":"Issue Lab (Candid)","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Public policy; Immigration policy; Latin Americans; Human migration; Foreign national","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":[0.002571563,0.0001596665,0.0002472878,0.001641762,0.004682702,0.00689843,0.0009750312,0.002440782,0.006666813],"category_scores_gemma":[0.006815157,0.0001679342,0.0002030901,0.003818891,0.003121726,0.008183489,0.003422267,0.003417503,0.0002461768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00676029,"about_ca_system_score_gemma":0.009686107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1264517,"about_ca_topic_score_gemma":0.2314843,"domain_scores_codex":[0.9990149,0.0003376756,0.00005821946,0.0001073474,0.0001102167,0.0003717008],"domain_scores_gemma":[0.9949735,0.001584969,0.0008127496,0.00009984656,0.001002811,0.001526046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002700669,0.0004796123,0.2515669,0.001599364,0.00009912779,0.001674421,0.1879779,0.001265887,0.001101549,0.251279,0.113993,0.1886932],"study_design_scores_gemma":[0.00003089558,0.00007222922,0.1893559,0.002730391,0.00004253732,0.0002389918,0.6384611,0.001187839,0.0002996541,0.03063808,0.1368845,0.00005786047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5241936,0.01660872,0.0003562799,0.4266529,0.00065746,0.00003767164,0.0006716226,0.00002786489,0.03079396],"genre_scores_gemma":[0.9735246,0.01024117,0.00042364,0.012938,0.0002516296,0.0000480758,0.0002477159,0.00001109636,0.00231411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8735483,"threshold_uncertainty_score":0.2514313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379312953318934,"score_gpt":0.3218399489076274,"score_spread":0.3080468193744381,"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."}}