{"id":"W7036736091","doi":"","title":"Commander's Brew - Alesha, Who Smiles at Death - 40","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Courtesy; Clothing; MAGIC (telescope); Sign (mathematics); Order (exchange); Collectable; Box office","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":[0.0003845247,0.0004713013,0.0006056783,0.000170364,0.0002080908,0.0002421362,0.001325863,0.0003814343,0.183029],"category_scores_gemma":[0.00009386684,0.0003986555,0.0002019907,0.00001321262,0.0001300626,0.000002342878,0.0005798154,0.0002188651,0.02277718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018659,"about_ca_system_score_gemma":0.00006628501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004233705,"about_ca_topic_score_gemma":0.0001765901,"domain_scores_codex":[0.9974354,0.00006845922,0.001080699,0.0002838923,0.0006769777,0.0004545854],"domain_scores_gemma":[0.9971428,0.0001778257,0.00145105,0.0008216187,0.0002260846,0.0001806126],"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":[0.000009971095,0.0000235537,0.000002721732,0.0008543088,0.00004608683,0.000005366751,0.0005127962,0.00003828721,9.590978e-8,0.001579902,0.9911169,0.005810029],"study_design_scores_gemma":[0.0004945493,0.00005197133,0.000005674742,0.0009066475,0.00002052633,0.0001163505,0.00002569545,0.001123716,0.00002051433,0.000230914,0.996517,0.0004864105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001142778,0.000363954,0.00104329,0.0002363318,0.0004003517,0.0003569432,0.00005023218,0.0005078767,0.9970296],"genre_scores_gemma":[0.0002157643,0.0002678877,0.009512802,0.0006728506,0.00017703,0.00001148042,0.00005077995,0.00008855347,0.9890028],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1602518,"threshold_uncertainty_score":0.9998465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008785380643476205,"score_gpt":0.199150104105448,"score_spread":0.1903647234619718,"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."}}