{"id":"W6913005282","doi":"10.5281/zenodo.7521406","title":"Mapping Canada's Refugee Determination System: 1950-2020","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Horizon 2020 Framework Programme","keywords":"Refugee; Immigration; Legislation; Legislature; Variety (cybernetics); Adjudication; Displaced person","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":[0.001834126,0.0006206331,0.0003739485,0.008218341,0.007671049,0.00580385,0.002135379,0.00102744,0.005941638],"category_scores_gemma":[0.004308571,0.0004893647,0.0007109718,0.01263361,0.002133694,0.00175664,0.002924745,0.001985282,0.0009297113],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1935565,"about_ca_system_score_gemma":0.2594702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987111,"about_ca_topic_score_gemma":0.9993517,"domain_scores_codex":[0.9965816,0.0001340308,0.00009864806,0.0002322225,0.001616493,0.001336999],"domain_scores_gemma":[0.9940104,0.0001455532,0.0002647283,0.00008595602,0.004470582,0.001022716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002545046,0.0001249891,0.3746983,0.001480379,0.0001791279,0.001196645,0.01949381,0.002913415,0.001207196,0.08465391,0.323624,0.1901737],"study_design_scores_gemma":[0.00002559934,0.00004236171,0.5107207,0.0008405656,0.0000654882,0.0002218156,0.02451175,0.001854552,0.0005611926,0.001559567,0.4594997,0.00009685657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4744059,0.02773898,0.003590746,0.05782142,0.0009787284,0.0007856283,0.1484033,0.0005761552,0.2856992],"genre_scores_gemma":[0.9080333,0.009916738,0.005122287,0.004368988,0.00006688403,0.000203924,0.02889585,0.0001491325,0.04324285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1935565,"threshold_uncertainty_score":0.9353601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864168523872306,"score_gpt":0.2616402952383816,"score_spread":0.2329986099996585,"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."}}