{"id":"W6997466122","doi":"","title":"10 Years in Jail &amp; 1,000 Lashes: In Conversation with Ensaf Haidar","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Vice president; Government (linguistics); Prison; Subpoena; Apostasy","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":[0.001285695,0.0007754989,0.000476733,0.0004579057,0.01536784,0.003789454,0.0004867623,0.002355405,0.04417059],"category_scores_gemma":[0.00194741,0.0004535407,0.0003019396,0.0003244118,0.001669273,0.004500563,0.003735388,0.007155156,0.01568301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675926,"about_ca_system_score_gemma":0.001694011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02442915,"about_ca_topic_score_gemma":0.1132921,"domain_scores_codex":[0.999559,0.0001448353,0.00001498004,0.00003331318,0.00007587928,0.0001719531],"domain_scores_gemma":[0.9988816,0.0001362959,0.00005072155,0.00002434346,0.0001292797,0.0007776534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007041878,0.0001021444,0.001997176,0.0001141939,0.000009295806,0.001347548,0.05393368,0.00002785689,0.0005838276,0.001422147,0.9183099,0.02208183],"study_design_scores_gemma":[0.000006460063,0.00003701089,0.004237231,0.0001732841,0.000005252735,0.0004593982,0.1098051,0.00003738061,0.0002296031,0.0001486882,0.8848394,0.00002123808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1371594,0.018889,0.0009657316,0.3509931,0.0306318,0.0003157845,0.001480107,0.0007086362,0.4588564],"genre_scores_gemma":[0.1359008,0.00807922,0.0006407119,0.07595785,0.00199025,0.000173094,0.0003127188,0.0004295459,0.7765158],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04417059,"threshold_uncertainty_score":0.1477653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008238407673499294,"score_gpt":0.1890960191024383,"score_spread":0.180857611428939,"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."}}