{"id":"W2800196139","doi":"10.7939/r3pg1j26p","title":"Working Together? Settlement Services and Immigrant Employment in Mid-Sized Canadian Cities","year":2017,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); Business; Economic growth; Political science; Geography; Labour economics; Economics; Finance; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.002222216,0.0004340738,0.0005759011,0.001662443,0.04922297,0.009444303,0.00311845,0.001613918,0.009187806],"category_scores_gemma":[0.003074414,0.000464458,0.0004834392,0.004232992,0.008794858,0.002124205,0.009783502,0.003298849,0.0004469941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08233865,"about_ca_system_score_gemma":0.1233269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866518,"about_ca_topic_score_gemma":0.9956969,"domain_scores_codex":[0.9963309,0.0005224713,0.00005938133,0.0002072442,0.0005045151,0.002375492],"domain_scores_gemma":[0.9962882,0.0002629344,0.0002918047,0.0000720107,0.0006418733,0.002443245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001239904,0.0002117283,0.09913078,0.0002470581,0.00003753353,0.002224153,0.8221983,0.0001880509,0.0005374741,0.0155063,0.02103761,0.03855703],"study_design_scores_gemma":[0.000007302217,0.00002129039,0.04133851,0.0002103285,0.000009291384,0.0001222524,0.9322367,0.0000499233,0.00003080159,0.0002921682,0.02565752,0.00002396219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515609,0.001882092,0.0001105749,0.01201802,0.0001740696,0.00007542707,0.000206125,0.00001683684,0.03395581],"genre_scores_gemma":[0.9874846,0.001588554,0.0001896284,0.001890243,0.00001844221,0.00004546361,0.0001099166,0.00001711478,0.008655878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08233865,"threshold_uncertainty_score":0.5974115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688051421352126,"score_gpt":0.2716101041077968,"score_spread":0.2447295898942756,"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."}}