{"id":"W7030450077","doi":"","title":"Media Nation - July 26, 2021 - Afghan Interpreters and Ontario Govt. Spending","year":2021,"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":"Afghan; Government (linguistics); Duty; Interpreter; Military government","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":[],"category_scores_codex":[0.0002085245,0.0005934153,0.0002459864,0.001035888,0.004489062,0.003917087,0.0005659647,0.001866086,0.517795],"category_scores_gemma":[0.0009242421,0.0004677098,0.0003082328,0.001361648,0.0004574378,0.001327694,0.001275318,0.001356751,0.289015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01031109,"about_ca_system_score_gemma":0.01480463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8106235,"about_ca_topic_score_gemma":0.9560859,"domain_scores_codex":[0.9996408,0.000007812962,0.000006035605,0.00002228042,0.0001903126,0.000132721],"domain_scores_gemma":[0.9988875,0.00002818493,0.00002431926,0.00002834616,0.0005248808,0.0005068],"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":[0.0000077958,0.00000653226,0.000142047,0.0000196047,4.944613e-7,0.00001385755,0.00003064572,0.000008127389,0.00004392636,0.0005376817,0.994565,0.004624433],"study_design_scores_gemma":[0.000004238341,0.000002895423,0.001542788,0.00002450042,9.58252e-7,0.000007913772,0.0001324292,0.00001361288,0.00004305182,0.00005969884,0.9981642,0.000003753945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001099007,0.000646611,0.00006560327,0.003820281,0.0006858835,0.0000794429,0.01746837,0.000497375,0.9756374],"genre_scores_gemma":[0.001462846,0.000222234,0.00003283603,0.0006477922,0.00003244939,0.00001779508,0.00209837,0.0001022938,0.9953834],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.517795,"threshold_uncertainty_score":0.687807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008888271031034446,"score_gpt":0.1906635494335562,"score_spread":0.1817752784025217,"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."}}