{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008629486,0.0001171925,0.0002310881,0.0005668945,0.000244046,0.00008896726,0.0006114898,0.0002219328,0.0001789694],"category_scores_gemma":[0.000005922903,0.0000934135,0.00008812763,0.0002954836,0.000124022,0.0004456234,0.00004909615,0.0003009319,0.000004080097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563428,"about_ca_system_score_gemma":0.00008336139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002947135,"about_ca_topic_score_gemma":0.05168084,"domain_scores_codex":[0.9986129,0.00008490445,0.0005690019,0.0001787468,0.0003272137,0.0002271672],"domain_scores_gemma":[0.9994079,0.00004573564,0.0002722113,0.0001430413,0.00006088252,0.0000702578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003116796,0.007487789,0.1439695,0.001760777,0.0006671977,0.0004053393,0.3554325,0.000538255,0.07392154,0.3296414,0.001096339,0.08476768],"study_design_scores_gemma":[0.001749735,0.001414884,0.02327968,0.001943831,0.0001585288,0.00005861336,0.5547447,0.008504732,0.001390308,0.08239448,0.3236647,0.0006957783],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878561,0.001557198,0.0000159537,0.009857978,0.0003278749,0.0002226663,0.00004824829,0.00006303718,0.00005088713],"genre_scores_gemma":[0.9977468,0.0002520071,0.0009435832,0.0003475884,0.0002382748,0.00001272959,0.00003038372,0.0000144512,0.0004142056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3225684,"threshold_uncertainty_score":0.9656235,"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."}}