{"id":"W7027106322","doi":"","title":"2024-06-02 - BTWRLM579 - Glowing End","year":2024,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Government (linguistics); Treaty; Disinformation; State (computer science); Tribunal; Accountability; Security council","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":[0.0006233857,0.0008515603,0.0005387535,0.001104648,0.001320949,0.004186236,0.001269898,0.00257915,0.9438066],"category_scores_gemma":[0.0034374,0.000452049,0.0007075702,0.0007618331,0.0004317871,0.002918807,0.003371794,0.001596299,0.9532391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084598,"about_ca_system_score_gemma":0.001073773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00795026,"about_ca_topic_score_gemma":0.01344443,"domain_scores_codex":[0.9995145,0.00003615812,0.00001800269,0.00007678656,0.0002433108,0.0001112642],"domain_scores_gemma":[0.998007,0.0001215691,0.00004024989,0.0003561969,0.0009586847,0.0005164205],"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":[0.00002374535,0.00001755619,0.00006388443,0.00003368438,9.632057e-7,0.00002354423,0.00001522338,0.00002039454,0.0001829874,0.0009015912,0.9707262,0.02799019],"study_design_scores_gemma":[0.000006407601,0.000006715588,0.0001404065,0.0000203713,5.141206e-7,0.00002135111,0.00002018747,0.00003400775,0.0001019159,0.0002035529,0.9994407,0.000003889892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002105943,0.0001125895,0.001128296,0.001028194,0.001447506,0.0001678822,0.008089,0.01138577,0.9764301],"genre_scores_gemma":[0.0008920681,0.00007184619,0.0005090195,0.00100741,0.0001056227,0.0000693811,0.00423182,0.002750254,0.9903625],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05619335,"threshold_uncertainty_score":0.08015293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554300785346042,"score_gpt":0.2617401504070038,"score_spread":0.2461971425535434,"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."}}