{"id":"W7115168312","doi":"10.1134/s1019331625601756","title":"The Transnational Nature of Canadian Immigration","year":2025,"lang":"en","type":"article","venue":"Herald of the Russian Academy of Sciences","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Phenomenon; Diaspora; Emigration; Country of origin","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":[0.0009872627,0.0002453241,0.0002285928,0.002057961,0.0148852,0.006418464,0.0006189118,0.0004802297,0.006505431],"category_scores_gemma":[0.001990815,0.0001349482,0.0002167539,0.003474156,0.0074592,0.001404059,0.004497351,0.00122182,0.0001912104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04882322,"about_ca_system_score_gemma":0.04943878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764175,"about_ca_topic_score_gemma":0.9849901,"domain_scores_codex":[0.9986633,0.0002093686,0.00002934858,0.0001214331,0.00036869,0.0006078078],"domain_scores_gemma":[0.9988137,0.0001267514,0.0001045435,0.00005738735,0.0005685518,0.0003290637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009461729,0.00004128039,0.04561334,0.0001849188,0.00003768414,0.001248679,0.2463263,0.0005906657,0.001278291,0.584411,0.02112772,0.09904558],"study_design_scores_gemma":[0.00001270726,0.00003698834,0.1096444,0.0004753673,0.0000520252,0.0007122575,0.4640963,0.0008973621,0.0004470857,0.02125146,0.4022765,0.00009761893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5333347,0.004795767,0.001048042,0.01502812,0.000340413,0.00004533895,0.0002650622,0.00003672003,0.4451059],"genre_scores_gemma":[0.9864917,0.001813154,0.0002647699,0.0003127935,0.00001907647,0.00000599297,0.00004995121,0.000008168102,0.01103447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04882322,"threshold_uncertainty_score":0.3542389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979711218390217,"score_gpt":0.3235672705025801,"score_spread":0.3037701583186779,"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."}}