{"id":"W7052729325","doi":"","title":"So Much For Our Week Off..","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surprise; Nightmare; Miracle; Curling; Government (linguistics)","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":[0.0004379943,0.0006950794,0.0003746649,0.0007095643,0.005222219,0.005633732,0.000760618,0.002238607,0.6823189],"category_scores_gemma":[0.002430023,0.0004319481,0.0004597503,0.0005489293,0.0007171151,0.002655708,0.003988405,0.002806775,0.6357297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008616798,"about_ca_system_score_gemma":0.001549963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01536018,"about_ca_topic_score_gemma":0.04055303,"domain_scores_codex":[0.9994286,0.00007107564,0.00001546572,0.00005616748,0.0002595989,0.0001690043],"domain_scores_gemma":[0.9983285,0.00006381189,0.00004597154,0.0001262636,0.0005317007,0.0009037204],"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":[0.000007287651,0.00001615312,0.00006610681,0.00001482234,7.346031e-7,0.00002154609,0.00006105333,0.000004998508,0.00008474743,0.0004105548,0.9811787,0.01813328],"study_design_scores_gemma":[0.000003502934,0.000005696737,0.0002838291,0.00002460565,8.548949e-7,0.00002576108,0.0002312517,0.000008754432,0.00005341644,0.0001603579,0.9991973,0.000004692466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007026868,0.0007840234,0.000567389,0.02150298,0.008391309,0.0001050523,0.001129063,0.001803975,0.9650136],"genre_scores_gemma":[0.001166579,0.0002187658,0.0001254219,0.003305482,0.0003140376,0.00002062956,0.0001695963,0.0002928646,0.9943867],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6823189,"threshold_uncertainty_score":0.4531335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007530926807736251,"score_gpt":0.188436830959027,"score_spread":0.1809059041512907,"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."}}