{"id":"W7094520294","doi":"","title":"2019 AUG 01 Trump Gaggle; North Korea, China, Mexico, Comey, Cashmere & Southern Border","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Position (finance); White (mutation); Quarter (Canadian coin); Administration (probate law); National security","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":[0.0009274835,0.001228188,0.0004919492,0.0005893313,0.009057657,0.005644849,0.00123865,0.01439987,0.2320034],"category_scores_gemma":[0.002870326,0.0007874137,0.0007020566,0.0005089845,0.001083971,0.002855163,0.002905134,0.009503026,0.1155569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003034818,"about_ca_system_score_gemma":0.004198905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04655871,"about_ca_topic_score_gemma":0.1303095,"domain_scores_codex":[0.9989417,0.00007647647,0.00004029243,0.0001847645,0.0003483441,0.0004084239],"domain_scores_gemma":[0.9988005,0.0001026777,0.00008524165,0.0000750671,0.0005769556,0.0003595083],"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":[0.00002701135,0.00003281932,0.0003160269,0.00002779587,0.000001339668,0.0001641819,0.00008968579,0.0000157085,0.0002601185,0.001287682,0.9937212,0.004056439],"study_design_scores_gemma":[0.0000102961,0.00003925721,0.001534853,0.00004362193,0.000001418361,0.0000398357,0.0004001544,0.00002353774,0.0001267614,0.0002768056,0.9974883,0.00001518154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005645438,0.001757295,0.000748734,0.1388995,0.04084307,0.001450738,0.003489037,0.001634044,0.8055322],"genre_scores_gemma":[0.005253148,0.0003532665,0.000201884,0.03665271,0.002213526,0.0002796864,0.0004171697,0.000196716,0.9544318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2320034,"threshold_uncertainty_score":0.7761288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007564418705913589,"score_gpt":0.2173159042904539,"score_spread":0.2097514855845403,"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."}}