{"id":"W6981579309","doi":"","title":"Ep.261 - Oh Great, Now China Hates Us","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Bioactive natural compounds","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); China; Foreign policy; Social media; Politics; Public discourse; Ridiculous","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001128883,0.0004136272,0.0003871669,0.00006273622,0.00004698288,0.00004527856,0.0004199072,0.0008107536,0.07654285],"category_scores_gemma":[0.00006755361,0.0003889867,0.0002209531,0.000007215003,0.0001451436,2.806546e-8,0.0001790265,0.000300911,0.00889716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003030961,"about_ca_system_score_gemma":0.00004107053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001452809,"about_ca_topic_score_gemma":0.0008313127,"domain_scores_codex":[0.9986059,0.00006336261,0.0004111469,0.0003097423,0.0002958674,0.0003139722],"domain_scores_gemma":[0.9987527,0.00002015053,0.0004547429,0.0005469101,0.0001293874,0.00009610024],"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":[0.0001215813,0.00002727529,0.0000214442,0.0002463604,0.000136593,0.000005102266,0.00001304321,0.00002746173,0.00007981965,0.000007628411,0.9985722,0.0007415184],"study_design_scores_gemma":[0.000558375,0.0002874522,0.00008706236,0.0001099108,0.00004664265,0.00007733818,0.00001190802,0.000006220649,0.0007557559,0.000003599321,0.9976191,0.0004366717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005181167,0.001192457,5.388178e-7,0.0001681575,0.0004271309,0.0004301302,0.0002255052,0.00006668589,0.9969712],"genre_scores_gemma":[0.003548556,0.0005545284,0.0006409154,0.0003725793,0.0003433913,0.00001062467,0.0007574987,0.0001516481,0.9936203],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06764569,"threshold_uncertainty_score":0.9998562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003646163314102681,"score_gpt":0.1844647945056785,"score_spread":0.1808186311915758,"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."}}