{"id":"W4407973606","doi":"10.1007/s44206-025-00168-9","title":"Digital Information Platforms and Support for Immigrant Professionals’ Employment and Settlement: An Integrative Review","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Immigration, Refugees and Citizenship Canada","keywords":"Settlement (finance); Immigration; Sociology; Business; Geography; Archaeology; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002613291,0.00009950829,0.0001349041,0.00001732932,0.0003256087,0.0003868286,0.00007162168,0.00006213818,0.00001956392],"category_scores_gemma":[0.0001038982,0.00007325718,0.00007151996,0.0001410641,0.000136161,0.002482005,0.00004363798,0.0000639123,0.000002245652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005865471,"about_ca_system_score_gemma":0.0001406868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001360112,"about_ca_topic_score_gemma":0.0002343154,"domain_scores_codex":[0.9993047,0.00000682567,0.0002294838,0.0001232335,0.0001774792,0.0001582462],"domain_scores_gemma":[0.9995857,0.00005914907,0.00007961641,0.00006599398,0.0001250665,0.0000844247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000409983,0.0002329485,0.009781589,0.0008881503,0.0001492235,2.669201e-7,0.1481708,0.000001000266,0.00000420779,0.2324791,0.07604707,0.5322046],"study_design_scores_gemma":[0.0005862493,0.0001224374,0.00158383,0.0005611866,0.00002772325,5.435049e-7,0.07420381,0.0006077866,0.000008134094,0.005142407,0.9169196,0.0002363139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7316733,0.006796412,0.03172392,0.03640588,0.001179438,0.01356454,0.01192149,0.0007538221,0.1659812],"genre_scores_gemma":[0.9246647,0.01119079,0.001053213,0.01926135,0.0001187438,0.0004717612,0.006220446,0.00002253549,0.03699641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8408725,"threshold_uncertainty_score":0.3730198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103106059604937,"score_gpt":0.3175427653079863,"score_spread":0.3072321593474925,"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."}}