{"id":"W7066387777","doi":"","title":"Gormley - Teri Parkhurst - August 21st, 2023","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Humor Studies and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); 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":["insufficient_payload"],"category_scores_codex":[0.0004272494,0.0005120917,0.000347888,0.0005727392,0.002136826,0.002560368,0.0005680708,0.001343038,0.7764269],"category_scores_gemma":[0.001157084,0.0003090615,0.0002755165,0.0005941302,0.0003287027,0.001111757,0.001797268,0.001660842,0.612837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260693,"about_ca_system_score_gemma":0.002220014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686376,"about_ca_topic_score_gemma":0.1715691,"domain_scores_codex":[0.999734,0.00001847751,0.000007224547,0.00004623301,0.0001033383,0.00009070997],"domain_scores_gemma":[0.999211,0.00004426729,0.00001789862,0.00005234389,0.0002821629,0.0003923321],"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":[0.00001625571,0.00001433285,0.0001547116,0.00001961062,6.458091e-7,0.00002962097,0.00001488333,0.0000090018,0.00006701201,0.0004479387,0.982285,0.01694095],"study_design_scores_gemma":[0.000003423626,0.000006100544,0.0008094817,0.00003575429,4.549784e-7,0.00001349692,0.00005807226,0.00001219417,0.00005123037,0.00008643883,0.998921,0.000002212414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009670955,0.0009942732,0.0001725484,0.00467091,0.002885223,0.00009428374,0.004422542,0.0006397259,0.9851534],"genre_scores_gemma":[0.0004865848,0.0001471474,0.00003341924,0.0003121771,0.00003177275,0.000008047656,0.0003196207,0.00005386722,0.9986073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2235731,"threshold_uncertainty_score":0.3188999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114063278536351,"score_gpt":0.235237906618934,"score_spread":0.2238315787652989,"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."}}