{"id":"W4409920173","doi":"10.1371/journal.pone.0321927","title":"Provision of employment-related settlement services and relationship with paid employment for immigrants in Canada","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership; University of Northern British Columbia; University of British Columbia","funders":"Michael Smith Health Research BC; WorkSafeBC","keywords":"Immigration; Odds; Service (business); Logistic regression; Demography; Medicine; Percentile; Cohort; Leverage (statistics); Demographic economics; Business; Gerontology; Geography; Economics; Sociology; Marketing; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009292848,0.0003097606,0.0004603491,0.001376794,0.004445298,0.00206048,0.001351437,0.0006015816,0.003688775],"category_scores_gemma":[0.00389971,0.0002823319,0.0007870057,0.003049491,0.00118116,0.0004814179,0.001945085,0.001643955,0.0002580713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01912842,"about_ca_system_score_gemma":0.03805123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892106,"about_ca_topic_score_gemma":0.9938319,"domain_scores_codex":[0.9989226,0.0001035712,0.00007358164,0.0001366975,0.0002862759,0.0004772519],"domain_scores_gemma":[0.997044,0.0001820333,0.000695623,0.00007827783,0.0008778811,0.001122138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005107661,0.00004253442,0.9917848,0.00004562172,0.00004429917,0.0001539928,0.001512119,0.00006873732,0.00006331798,0.0001648086,0.001089402,0.004979289],"study_design_scores_gemma":[0.000006092247,0.00002457827,0.990176,0.0001848977,0.0000262832,0.0001012017,0.007547491,0.000251707,0.00003007616,0.00005472308,0.001574788,0.00002217658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944363,0.001147874,0.00006440469,0.001019241,0.00003092411,0.00002512307,0.00113658,0.00000775164,0.002131796],"genre_scores_gemma":[0.9970509,0.001011068,0.00009288289,0.000171155,0.000008090993,0.000012067,0.0006356507,0.000006062186,0.001012145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01912842,"threshold_uncertainty_score":0.138787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856198206349519,"score_gpt":0.3207534841275778,"score_spread":0.2721915020640825,"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."}}