{"id":"W7009507941","doi":"","title":"Employing the evidence: Building employment and entrepreneurial opportunities for refugee newcomers through community-based settlement and inclusion practices","year":2019,"lang":"en","type":"other","venue":"The Atrium (University of Guelph)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Settlement (finance); Inclusion (mineral); Immigration; Entrepreneurship; Service (business); Community organization","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":[0.009465882,0.0003224676,0.0004510321,0.002578676,0.007415726,0.00844635,0.001844585,0.001109914,0.008565394],"category_scores_gemma":[0.02385128,0.0003240399,0.0002503061,0.002379303,0.005239026,0.003598725,0.008689288,0.001361635,0.0006560733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01187843,"about_ca_system_score_gemma":0.0540159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3665722,"about_ca_topic_score_gemma":0.7817898,"domain_scores_codex":[0.9952538,0.002806136,0.0002308581,0.0001932159,0.0007585378,0.0007575199],"domain_scores_gemma":[0.9905614,0.003719772,0.001065039,0.0007111611,0.002095736,0.001846944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001893988,0.0004041934,0.08165673,0.006284265,0.0001288739,0.002091822,0.3953797,0.0001237317,0.0005482027,0.02878842,0.03330527,0.4510994],"study_design_scores_gemma":[0.00007084448,0.0001915391,0.06153115,0.01404869,0.0001675932,0.0002654262,0.6881929,0.0001005684,0.0003345906,0.00429288,0.2307619,0.0000418582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5841535,0.03053213,0.001491144,0.1069409,0.0009309275,0.001138168,0.0006719969,0.00004625328,0.274095],"genre_scores_gemma":[0.9459177,0.02694309,0.003215328,0.005053108,0.0001011764,0.0003527772,0.0001999658,0.00002486144,0.01819204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3665722,"threshold_uncertainty_score":0.7288769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359258362964307,"score_gpt":0.3391574011910961,"score_spread":0.2032315648946654,"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."}}