{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003089981,0.0007815913,0.0003983458,0.001092915,0.002422528,0.00410515,0.0007359564,0.002376516,0.7251177],"category_scores_gemma":[0.001383183,0.000364239,0.0003271324,0.001421039,0.0007042889,0.002156785,0.001587621,0.001883307,0.6137571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202445,"about_ca_system_score_gemma":0.002158057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04965308,"about_ca_topic_score_gemma":0.141926,"domain_scores_codex":[0.9997082,0.00002367446,0.00001209068,0.00004030339,0.0001613086,0.00005435194],"domain_scores_gemma":[0.9994313,0.00009632246,0.00002368297,0.0000382108,0.0002808264,0.0001295479],"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":[0.000009207714,0.000005193847,0.00005801346,0.00005507469,7.139161e-7,0.00003102856,0.00004003217,0.000007915896,0.00007536035,0.001898997,0.9760079,0.02181056],"study_design_scores_gemma":[0.000002076493,0.00000257646,0.0003467975,0.00006792632,4.686457e-7,0.00001623851,0.00006138154,0.000005357309,0.0000241966,0.0002197178,0.9992517,0.000001652447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002036068,0.002932735,0.00009744028,0.004587772,0.003750941,0.00004685636,0.002552363,0.0002853185,0.985543],"genre_scores_gemma":[0.000336961,0.0005103384,0.00002157991,0.0008334224,0.0001608957,0.00001171596,0.0002487931,0.00005178777,0.9978244],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2748823,"threshold_uncertainty_score":0.3920861,"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."}}