{"id":"W6989388339","doi":"","title":"The assassin next door","year":2023,"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":"Government (linguistics); Face (sociological concept); Front (military); 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":[],"category_scores_codex":[0.001485945,0.0006453309,0.0004397289,0.0006998635,0.02112648,0.007850164,0.00123457,0.00379049,0.3082812],"category_scores_gemma":[0.009222894,0.0006096689,0.0004297314,0.0006425134,0.003326228,0.006742795,0.009031868,0.00993716,0.1536654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002694229,"about_ca_system_score_gemma":0.00612512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03538898,"about_ca_topic_score_gemma":0.09242773,"domain_scores_codex":[0.9969656,0.0006657731,0.00006841929,0.0003804215,0.0009892952,0.0009304574],"domain_scores_gemma":[0.9970686,0.0003828354,0.00009357804,0.0002472234,0.0006360887,0.001571682],"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":[0.00001204422,0.00001420865,0.0002203213,0.00003049646,0.000001381759,0.0003128179,0.006094283,0.000008856729,0.0001786562,0.0297856,0.945348,0.01799342],"study_design_scores_gemma":[7.122268e-7,0.000002622415,0.0001170523,0.000041718,5.921474e-7,0.000118716,0.004776761,0.000004257233,0.0000628649,0.001088163,0.9937822,0.00000427628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00277337,0.00110997,0.00136116,0.04130046,0.01130784,0.0000650559,0.0004392893,0.0004246221,0.9412182],"genre_scores_gemma":[0.01426665,0.0005320349,0.000354072,0.0137957,0.0005930628,0.00002685596,0.0001479485,0.0004300892,0.9698536],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3082812,"threshold_uncertainty_score":0.9866529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009692615037884144,"score_gpt":0.2022184985898472,"score_spread":0.1925258835519631,"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."}}