{"id":"W2163310275","doi":"10.1108/ijm-02-2014-0052","title":"Vulnerable groups in Canada and labour market exclusion","year":2015,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Poverty; Demographic economics; Social exclusion; Immigration; Economics; Labour economics; Political science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009323143,0.00006797788,0.0001462237,0.0001096813,0.0000743663,0.000007195289,0.0001640959,0.00003221866,0.0005971863],"category_scores_gemma":[0.0002873809,0.0000518381,0.00001871708,0.00004645707,0.00001340952,0.0001547816,0.0001476452,0.0003587955,0.000006422457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700522,"about_ca_system_score_gemma":0.000649073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3747036,"about_ca_topic_score_gemma":0.7072735,"domain_scores_codex":[0.9987469,0.0001766806,0.0004019261,0.00006650575,0.0004588897,0.0001490946],"domain_scores_gemma":[0.9989432,0.0002094022,0.0002210627,0.0000455416,0.0004880045,0.00009285621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000244898,0.0000266538,0.8168307,0.000009668684,0.00005343865,0.0002548611,0.001516034,0.00001221812,0.00001909983,0.0008750681,0.1789275,0.001229819],"study_design_scores_gemma":[0.00238224,0.00005857858,0.7321311,0.0002486504,0.000006925158,0.00004359764,0.004789492,0.0000384042,0.000008779127,0.00414666,0.2560434,0.0001022165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702057,0.0003925619,0.00002745187,0.01072499,0.003111894,0.00006453907,0.000007817413,0.000003210909,0.01546184],"genre_scores_gemma":[0.992714,0.0001836448,0.00007237649,0.001261326,0.000387281,0.0000026377,0.000001171365,0.000006918016,0.005370575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.33257,"threshold_uncertainty_score":0.6538771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479936802900042,"score_gpt":0.3623913695726846,"score_spread":0.3275920015436842,"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."}}