{"id":"W2770497443","doi":"10.1080/00323187.2017.1334510","title":"Introduction: researching immigrant and emigrant voting","year":2017,"lang":"en","type":"article","venue":"Political Science","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Immigration; Franchise; Voting; Emigration; Turnout; Political science; Demographic economics; Field (mathematics); Sociology; Criminology; Law; Economics; Politics; Business","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":[0.002388967,0.0003315232,0.0003944566,0.001647413,0.002098792,0.003022032,0.0006446689,0.001724853,0.01366867],"category_scores_gemma":[0.008529252,0.0001818639,0.0002966772,0.003505554,0.001548642,0.002142846,0.001453917,0.001750975,0.001260108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688951,"about_ca_system_score_gemma":0.002019801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102413,"about_ca_topic_score_gemma":0.01586078,"domain_scores_codex":[0.9987586,0.0005499411,0.00008771238,0.0001527702,0.0003296404,0.0001213709],"domain_scores_gemma":[0.9950325,0.003233791,0.0004525269,0.000182733,0.0007278684,0.000370587],"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":[0.0001226268,0.0001882747,0.07633064,0.002282738,0.00006558609,0.000458992,0.03001329,0.0005499023,0.0005926591,0.2143385,0.3813197,0.2937371],"study_design_scores_gemma":[0.00001358003,0.0001374879,0.07315177,0.003292813,0.0000300628,0.0003498568,0.0210886,0.0003398305,0.0003478426,0.02319806,0.878019,0.00003106381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.1492868,0.2204367,0.0093216,0.1719044,0.04398406,0.0002413622,0.003121207,0.0001088186,0.4015951],"genre_scores_gemma":[0.5829827,0.195039,0.007861627,0.02585436,0.04476079,0.0003896339,0.003235337,0.0001323009,0.1397442],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01366867,"threshold_uncertainty_score":0.0457263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164533556833744,"score_gpt":0.3819524997817439,"score_spread":0.3503071642134065,"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."}}