{"id":"W1517268938","doi":"10.25071/1920-7336.22067","title":"Case Study: Mr. Gabriel Marshal Nylowa Yak","year":2000,"lang":"en","type":"article","venue":"Refuge Canada s Journal on Refuge","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeal; Refugee; Persecution; Torture; Amnesty; Law; Political science; Ancient history; History; Human rights; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009443303,0.0008838924,0.0005040137,0.001268808,0.0123894,0.001693408,0.001593826,0.005578214,0.006226336],"category_scores_gemma":[0.005843736,0.000504808,0.0005346844,0.001173673,0.002516555,0.00196998,0.00306074,0.005162355,0.001129618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534237,"about_ca_system_score_gemma":0.003264703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02790632,"about_ca_topic_score_gemma":0.06009731,"domain_scores_codex":[0.9989064,0.0004362267,0.00006501767,0.0001223398,0.000172121,0.000297932],"domain_scores_gemma":[0.9986038,0.0004427439,0.0002113008,0.00005272951,0.000163145,0.0005264201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.000127652,0.0004143083,0.01418617,0.0005200834,0.00003050266,0.7423357,0.1795275,0.0003840987,0.001339495,0.009658618,0.03177077,0.01970516],"study_design_scores_gemma":[0.00002488854,0.0002423907,0.008041794,0.0006433091,0.00003028015,0.5771566,0.2973404,0.0004176982,0.0009661078,0.001483959,0.1135731,0.00007951068],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861514,0.007364633,0.003905339,0.07387234,0.001177373,0.0006811565,0.0003193585,0.00007820554,0.05108752],"genre_scores_gemma":[0.9573677,0.004932274,0.003207463,0.01107267,0.0003475725,0.0001882273,0.00008977388,0.00004391994,0.02275049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02790632,"threshold_uncertainty_score":0.05548781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072940648280689,"score_gpt":0.2966941349366055,"score_spread":0.2759647284537986,"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."}}