{"id":"W6920932015","doi":"10.6084/m9.figshare.10071677","title":"Additional file 1: of Citizenship acquisition of Turkish immigrants in Canada and Germany: a comparative analysis","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Citizenship; Turkish; Refugee; Asylum seeker","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001474566,0.0004387975,0.0005394287,0.003647508,0.00273931,0.00111239,0.001113104,0.0005286232,0.4542975],"category_scores_gemma":[0.01191292,0.0003149714,0.0003848225,0.007716587,0.0004459479,0.001326458,0.0008789398,0.0006222635,0.02123036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006234337,"about_ca_system_score_gemma":0.00944855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5378981,"about_ca_topic_score_gemma":0.7061694,"domain_scores_codex":[0.999546,0.0000865081,0.00005415232,0.00005735695,0.0001110345,0.0001449625],"domain_scores_gemma":[0.988842,0.007070625,0.0005568889,0.0002414543,0.002881321,0.000407675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002047662,0.000162755,0.02704066,0.002254525,0.00002617832,0.0002855069,0.01664667,0.0002913786,0.0002129902,0.001369251,0.9257225,0.02578272],"study_design_scores_gemma":[0.000463875,0.0001708168,0.4977847,0.005219398,0.0001138071,0.0004344167,0.1257758,0.0009238629,0.00100086,0.001502511,0.366409,0.0002009689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02179832,0.00006298932,0.0002635772,0.0005207165,0.00003645702,0.0007551236,0.9681792,0.0000853362,0.008298248],"genre_scores_gemma":[0.2687965,0.0009499711,0.007204412,0.001007951,0.00009221853,0.01984726,0.6249329,0.0003460626,0.07682262],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4621019,"threshold_uncertainty_score":0.9296466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027187211438998,"score_gpt":0.2703989070524177,"score_spread":0.2432116956134197,"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."}}