{"id":"W4396670368","doi":"10.1080/15228835.2024.2346529","title":"Online Employment Services for Immigrant Professionals: An Environmental Scan","year":2024,"lang":"en","type":"article","venue":"Journal of Technology in Human Services","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Immigration, Refugees and Citizenship Canada","keywords":"Immigration; Per capita; Census; Business; Geography; Marketing; Demographic economics; Economic growth; Medicine; Population; Economics; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001078312,0.0001901122,0.0002003314,0.007831549,0.003752321,0.002876382,0.0006250198,0.0004152136,0.004329395],"category_scores_gemma":[0.003346041,0.0002422573,0.0002743587,0.01732989,0.001036611,0.001074882,0.001701263,0.0004217116,0.0003047524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0127158,"about_ca_system_score_gemma":0.04119803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9119385,"about_ca_topic_score_gemma":0.9717318,"domain_scores_codex":[0.9985006,0.0001097636,0.00007653271,0.00009558263,0.0006734285,0.00054408],"domain_scores_gemma":[0.9944333,0.000996346,0.0007620934,0.0001003702,0.00310815,0.0005996805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001275711,0.0001394034,0.7553442,0.001543172,0.00005273353,0.001347016,0.01286744,0.0002634799,0.0008766964,0.002519053,0.0197227,0.2051965],"study_design_scores_gemma":[0.00000669568,0.00007923993,0.8869529,0.001630061,0.00005254254,0.0006161929,0.04730289,0.0002553704,0.0003965489,0.000211265,0.06246774,0.00002846857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115675,0.01054454,0.0003637364,0.006679134,0.00006226352,0.0003117518,0.02333389,0.00009466252,0.04704254],"genre_scores_gemma":[0.9691783,0.01400072,0.001928738,0.002400306,0.0000436672,0.0001989383,0.005982772,0.00004124557,0.006225333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9119385,"threshold_uncertainty_score":0.1771601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316399127285476,"score_gpt":0.3468723305421073,"score_spread":0.3337083392692525,"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."}}