{"id":"W2949236029","doi":"10.35295/osls.iisl/0000-0000-0000-1047","title":"The battle of numbers","year":2019,"lang":"en","type":"article","venue":"Oñati Socio-legal Series","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Racialization; Bureaucracy; Refugee; Political science; Politics; Racism; Public administration; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009694192,0.0006857962,0.0009167753,0.001798971,0.0146046,0.01563296,0.00195292,0.002603853,0.02927494],"category_scores_gemma":[0.01877996,0.0005253462,0.0004411291,0.001595345,0.04119258,0.01100309,0.008635348,0.007897594,0.004889467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02427335,"about_ca_system_score_gemma":0.02296333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4290721,"about_ca_topic_score_gemma":0.4047029,"domain_scores_codex":[0.9900314,0.001808413,0.000302786,0.002195128,0.004192348,0.001469945],"domain_scores_gemma":[0.9912497,0.002329201,0.0004191804,0.001227809,0.003064551,0.001709625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002696517,0.000005047381,0.0005919706,0.00002550913,0.00000525143,0.00004371322,0.002933721,0.0001154168,0.0001114869,0.9296107,0.03666164,0.02986854],"study_design_scores_gemma":[0.00001498347,0.00001838045,0.001173823,0.0001933298,0.000006462231,0.00007915143,0.002691502,0.0002475622,0.000149266,0.1371196,0.8582767,0.00002925317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01540483,0.00637922,0.01704557,0.167532,0.003760043,0.00006196259,0.0003795539,0.0002913951,0.7891455],"genre_scores_gemma":[0.5613186,0.006310189,0.01099513,0.03748038,0.002930802,0.0001879098,0.0003181785,0.0006345337,0.3798243],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4290721,"threshold_uncertainty_score":0.8531492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00564730376727348,"score_gpt":0.2610701561352023,"score_spread":0.2554228523679289,"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."}}