{"id":"W4294549706","doi":"10.1007/s12134-022-00983-w","title":"Immigrant Identifications and ICT Use: A Survey Study of Chinese and South Asian Immigrants in Canada","year":2022,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Centre of Singapore","keywords":"Immigration; Information and Communications Technology; Dual (grammatical number); Identity (music); Exploratory research; Settlement (finance); Identification (biology); Economic growth; Political science; Sociology; Business; Social science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008514245,0.0004182182,0.0005367029,0.001879922,0.008208,0.003079374,0.001105834,0.0008661952,0.002742996],"category_scores_gemma":[0.001987923,0.0005285728,0.0007113832,0.005301616,0.001480108,0.00115027,0.00201232,0.001719122,0.0004990998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01407702,"about_ca_system_score_gemma":0.02884667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802161,"about_ca_topic_score_gemma":0.9912374,"domain_scores_codex":[0.9990929,0.000108471,0.00006514092,0.00009116914,0.0001945663,0.0004476368],"domain_scores_gemma":[0.9972031,0.0002029314,0.000423904,0.00005392892,0.001010237,0.00110597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006077584,0.0002028342,0.9526234,0.00003229582,0.00003160219,0.0002828134,0.04282735,0.00002643019,0.0002594791,0.0001332504,0.0004795991,0.003040321],"study_design_scores_gemma":[0.000006377727,0.00008096402,0.826556,0.00005693207,0.0000248497,0.0001082064,0.1715774,0.000106883,0.00007492512,0.00002482201,0.001354859,0.00002783213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987336,0.00009652971,0.00001960613,0.0001123628,0.000004576581,0.00002561798,0.0002380157,0.00000143409,0.0007682274],"genre_scores_gemma":[0.9971008,0.0003689778,0.00009210774,0.0002478847,0.000004502579,0.00003812147,0.000344226,0.000004828443,0.001798477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01978391,"threshold_uncertainty_score":0.1021364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519506695193858,"score_gpt":0.3139798066825988,"score_spread":0.2887847397306603,"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."}}