{"id":"W4404212459","doi":"10.1079/searchrxiv.2024.00734","title":"Private Versus Government Sponsorship in Canadian Refugee Resettlement (IBSS).","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refugee; Government (linguistics); Political science; Business; Computer security; Computer science; 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":[0.001933577,0.0001693757,0.0002421666,0.001398733,0.009358352,0.003416729,0.001040856,0.0008586646,0.00574274],"category_scores_gemma":[0.007999164,0.0001756998,0.0001289487,0.002852174,0.004025421,0.00147684,0.003254189,0.001490776,0.000210655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02744177,"about_ca_system_score_gemma":0.03957419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9667251,"about_ca_topic_score_gemma":0.9874495,"domain_scores_codex":[0.9979074,0.0005416302,0.00004823733,0.0001123688,0.0002735044,0.001116923],"domain_scores_gemma":[0.9953554,0.0009921504,0.0008072929,0.0001481781,0.0009750021,0.001721952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003706021,0.0001959667,0.2054862,0.0002105647,0.00002471601,0.000976768,0.7088639,0.0001843073,0.0006453487,0.02100029,0.02276526,0.03927604],"study_design_scores_gemma":[0.000007049587,0.0000262705,0.2146137,0.0001833785,0.00000986648,0.00008620346,0.7656304,0.00009078776,0.00006936063,0.0002351951,0.01902884,0.00001896245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795821,0.001164905,0.00005183641,0.004059995,0.00005781506,0.00003694068,0.0003054482,0.000003923742,0.01473709],"genre_scores_gemma":[0.9963394,0.0004680781,0.00003661686,0.0001922616,0.00001102089,0.00001330708,0.00006642281,0.000004663906,0.002868078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03327495,"threshold_uncertainty_score":0.1991049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151555751908965,"score_gpt":0.3428919320393514,"score_spread":0.3013763745202617,"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."}}