{"id":"W6987945243","doi":"","title":"#8544 - (🎧#URRTHEBUZZFEED🎧) - #news #canada #sudan #iran #syria #israel #saudiarabia #uae #international #TopHeadlines - 3+ HOURS🔉/🌐Another Update: \"✈Airstrikes💥, Coups🔫&amp;🚚Trucker's... It's Going 2 Be A Busy Week🤔\"","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Work (physics); Identification (biology); Process (computing); Subtitle","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":[0.0004582657,0.0009097201,0.0005405348,0.001205935,0.003057743,0.005420788,0.0007321729,0.002269312,0.8567739],"category_scores_gemma":[0.00313989,0.0005882389,0.000399767,0.001421235,0.0004365738,0.002192845,0.001759153,0.002331575,0.8933048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746923,"about_ca_system_score_gemma":0.002855903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04040592,"about_ca_topic_score_gemma":0.1009383,"domain_scores_codex":[0.9996349,0.00002108753,0.00001157993,0.00003860785,0.00019941,0.00009447613],"domain_scores_gemma":[0.9977704,0.0001681347,0.00007120141,0.0001653376,0.001148064,0.0006768467],"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":[0.000009439887,0.000009645857,0.00004203268,0.00001904729,4.776163e-7,0.00001011882,0.00001061311,0.000007228644,0.00005796733,0.000266841,0.9934703,0.006096233],"study_design_scores_gemma":[0.000006490684,0.000006888578,0.0004593853,0.00002198664,0.000001071109,0.00001060179,0.00004040993,0.00002023425,0.0000864762,0.00007812458,0.9992632,0.00000519876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002078853,0.00008821348,0.0001096775,0.000792545,0.0009335229,0.00006237027,0.004716236,0.001360775,0.9917288],"genre_scores_gemma":[0.0002904579,0.00004425287,0.00004231095,0.0003014854,0.00006139755,0.00001576466,0.000938659,0.0003258236,0.9979799],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1432261,"threshold_uncertainty_score":0.2042946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172421197850997,"score_gpt":0.2034542691547489,"score_spread":0.1917300571762389,"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."}}