{"id":"W3125012437","doi":"10.1332/204080520x16076177287917","title":"Migrant integration services and coping with the digital divide: challenges and opportunities of the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Voluntary Sector Review","topic":"Social Media and Politics","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Public relations; Digital divide; Coronavirus disease 2019 (COVID-19); Pandemic; Business; Coping (psychology); Service delivery framework; Service provider; Service (business); Information and Communications Technology; Marketing; Political science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002543442,0.00007683829,0.000179099,0.000009404533,0.0002457489,0.00004027199,0.0001117323,0.00003257174,0.00002644527],"category_scores_gemma":[0.0001595044,0.0000403612,0.00003407953,0.00008494047,0.00036899,0.0001258874,0.00004401101,0.00008065785,4.080243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002634104,"about_ca_system_score_gemma":0.0002276358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161833,"about_ca_topic_score_gemma":0.01212928,"domain_scores_codex":[0.9991947,0.0002631293,0.0001242104,0.000106112,0.000196212,0.0001156486],"domain_scores_gemma":[0.9992286,0.0004205199,0.00009252533,0.0001142781,0.00005825124,0.0000858406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001685722,0.0000460167,0.2607887,0.01502256,0.0002116465,0.00001759313,0.3494941,3.445431e-7,0.00005703417,0.03044048,0.003982215,0.3399224],"study_design_scores_gemma":[0.00008786017,0.00002255872,0.00557426,0.001295953,0.00009534194,0.00001383674,0.02697726,0.000001023095,0.00000519823,0.000644171,0.9651968,0.00008573617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3578706,0.5762008,0.000008316313,0.06465151,0.0001434061,0.0003559795,0.00003976691,0.00002234729,0.0007072338],"genre_scores_gemma":[0.5371982,0.4556485,0.00000451335,0.006900819,0.0001321425,0.00001283677,0.000007532739,0.000004674951,0.0000907696],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9612146,"threshold_uncertainty_score":0.6768423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508060661315949,"score_gpt":0.3301634701129925,"score_spread":0.1793574039813976,"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."}}