{"id":"W7026808264","doi":"","title":"Amandla@ CKUT Afar Erythrea","year":2013,"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":"Secession; Government (linguistics); French horn; State (computer science); Politics; Foreign policy; Democracy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002968721,0.0006309971,0.0002478524,0.0009421715,0.002778025,0.003747197,0.0004880581,0.001612883,0.8327833],"category_scores_gemma":[0.001162855,0.0002100513,0.0001664973,0.0007651449,0.0003282956,0.001592833,0.0013986,0.0009478235,0.6699663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008579841,"about_ca_system_score_gemma":0.000784556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004566441,"about_ca_topic_score_gemma":0.008641877,"domain_scores_codex":[0.9997485,0.00003829308,0.000009623323,0.00004913465,0.00008836279,0.00006603818],"domain_scores_gemma":[0.9994363,0.00009822715,0.00004274598,0.00004623019,0.0001575756,0.000218774],"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":[0.0001084793,0.00006821835,0.0009143361,0.0002220858,0.000003248862,0.0004078302,0.0002701455,0.00005971427,0.0005270258,0.006856324,0.7306557,0.259907],"study_design_scores_gemma":[0.000003193548,0.00001043919,0.0004385379,0.00007263395,0.000001181924,0.0002190851,0.0001729714,0.00002153862,0.0001645392,0.0002352577,0.9986571,0.000003399326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001125945,0.001381797,0.0001612786,0.001495555,0.0008722985,0.00002025266,0.0008276655,0.0004503792,0.9936649],"genre_scores_gemma":[0.005990228,0.0007124601,0.0001866774,0.000434716,0.0001094177,0.000008071374,0.0003499925,0.0001101613,0.9920982],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1672167,"threshold_uncertainty_score":0.2385142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006337455876060396,"score_gpt":0.1844090722831903,"score_spread":0.1780716164071299,"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."}}