{"id":"W4242941697","doi":"10.32920/ryerson.14638605","title":"Private sponsorship in refugee admission: Standard in Canada, trend in Germany?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Pillar; German; Scope (computer science); Political science; Public administration; State (computer science); Economic growth; Law; Geography; Economics; Engineering","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":[0.003297803,0.0002482502,0.0003393802,0.002708602,0.007516352,0.008731292,0.001778287,0.001335667,0.00776623],"category_scores_gemma":[0.01108728,0.0002563648,0.0002337522,0.007933058,0.005200807,0.002531559,0.003039148,0.00186913,0.0002730408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08923536,"about_ca_system_score_gemma":0.1595265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922083,"about_ca_topic_score_gemma":0.993881,"domain_scores_codex":[0.9956411,0.0004757989,0.0001534992,0.000450926,0.001276013,0.002002605],"domain_scores_gemma":[0.9895587,0.0008488199,0.001078893,0.0004376187,0.003542875,0.004533055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004265605,0.0002966939,0.2404492,0.000529988,0.00008436444,0.000596073,0.04889423,0.001135649,0.0004614797,0.3146606,0.1508555,0.2416096],"study_design_scores_gemma":[0.00008155817,0.00009856941,0.5972561,0.001181794,0.00008834921,0.0003264066,0.08542904,0.001123585,0.0004741547,0.00942375,0.3043506,0.000166057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7436978,0.01727512,0.0009654499,0.1300934,0.0009366688,0.0001601015,0.004578525,0.00009982105,0.1021931],"genre_scores_gemma":[0.9802272,0.004197702,0.0005093236,0.002198805,0.00007129311,0.00002622017,0.0008447221,0.00002912562,0.01189551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08923536,"threshold_uncertainty_score":0.6474509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279297968563851,"score_gpt":0.3043441358313244,"score_spread":0.2815511561456858,"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."}}