{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004939665,0.001058117,0.0003972765,0.000656533,0.007415372,0.004227569,0.0005494012,0.001251383,0.446184],"category_scores_gemma":[0.002607106,0.0003010537,0.0002970471,0.0004180042,0.00119314,0.004210023,0.004191198,0.003321526,0.23548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326938,"about_ca_system_score_gemma":0.0009948954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415533,"about_ca_topic_score_gemma":0.04610317,"domain_scores_codex":[0.9995357,0.00007939694,0.00001099397,0.00005763282,0.0001504398,0.000165837],"domain_scores_gemma":[0.9990165,0.00007088371,0.00003292248,0.00004341029,0.0002439589,0.0005924226],"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":[0.00002089265,0.00001149456,0.0003184844,0.00002211589,0.000001218995,0.0001440026,0.001044606,0.000007481348,0.0001445928,0.001119537,0.9851851,0.01198045],"study_design_scores_gemma":[0.000002085837,0.00001347132,0.0007316754,0.00005935063,0.000001187823,0.0002763895,0.003880695,0.00002916921,0.0001709092,0.0002553022,0.9945696,0.00001020853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009690921,0.002748502,0.001448547,0.03057958,0.01044731,0.0001081938,0.001555976,0.003454569,0.9399664],"genre_scores_gemma":[0.01643911,0.0007542265,0.0002903776,0.004030948,0.0003845436,0.00003708229,0.0004832183,0.0005798519,0.9770006],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.446184,"threshold_uncertainty_score":0.7899513,"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."}}