{"id":"W4404212410","doi":"10.1079/searchrxiv.2024.00735","title":"Private Versus Government Sponsorship in Canadian Refugee Resettlement (Scopus).","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scopus; Refugee; Government (linguistics); Political science; Economic growth; Development economics; Economics; MEDLINE; Law","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":[0.00247777,0.0001706251,0.0003645013,0.002602888,0.004171486,0.003896334,0.001020029,0.0006777326,0.009260791],"category_scores_gemma":[0.02210522,0.0001190354,0.0002064642,0.007331835,0.001483081,0.001528361,0.003388112,0.0008874066,0.0003024205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01333262,"about_ca_system_score_gemma":0.03321466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9355921,"about_ca_topic_score_gemma":0.9774727,"domain_scores_codex":[0.9978213,0.0004005966,0.0001106438,0.0001250849,0.0004448498,0.001097481],"domain_scores_gemma":[0.9842952,0.002317544,0.003129256,0.000444787,0.003871867,0.005941235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009622528,0.0002977382,0.8093823,0.0004378546,0.0002081693,0.0006371288,0.02941394,0.0006020849,0.0002316775,0.01694252,0.04419768,0.09668667],"study_design_scores_gemma":[0.00002403557,0.00006231012,0.9278641,0.00041883,0.00005727121,0.00007039147,0.05790383,0.000313465,0.00005025252,0.0007369523,0.01247683,0.00002178464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488464,0.003563277,0.00009982437,0.007553215,0.0001638984,0.00006952455,0.003067225,0.0000127981,0.03662385],"genre_scores_gemma":[0.9952739,0.0008902189,0.00004574813,0.0001652889,0.00002923865,0.00001306835,0.0006435663,0.000007194422,0.002931893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06440794,"threshold_uncertainty_score":0.1295745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541479441300799,"score_gpt":0.3387687071830112,"score_spread":0.3033539127700032,"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."}}