{"id":"W7027927971","doi":"","title":"#349 - The Donkey Revolution","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Medical and Health Sciences Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Donkey; George (robot); Ephemera; Character (mathematics); State (computer science)","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":[],"consensus_categories":[],"category_scores_codex":[0.000504006,0.00037201,0.0001849111,0.0004637316,0.004239,0.005945452,0.0004979607,0.002552293,0.2777723],"category_scores_gemma":[0.001974443,0.0001871867,0.0002053303,0.0005717468,0.001163481,0.002244373,0.002311325,0.00253115,0.1172943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750409,"about_ca_system_score_gemma":0.00430056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05664709,"about_ca_topic_score_gemma":0.1396341,"domain_scores_codex":[0.9994938,0.00005924459,0.000008562213,0.00006766466,0.0001917304,0.0001789656],"domain_scores_gemma":[0.9995257,0.00006599835,0.00001327047,0.00004713362,0.0001645632,0.0001834118],"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":[0.000005651702,0.000005173282,0.00007146251,0.00001112366,4.842469e-7,0.00002080914,0.00007450247,0.00000616125,0.00004599868,0.02104289,0.9706981,0.008017524],"study_design_scores_gemma":[7.606106e-7,0.000001436851,0.0001661243,0.00001263977,2.662506e-7,0.000008912319,0.00007117508,0.000003716614,0.00002004213,0.0005587371,0.999155,0.000001067203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005520796,0.001086795,0.00006448143,0.01442919,0.002264167,0.000009338266,0.0004156926,0.00007715069,0.9811012],"genre_scores_gemma":[0.003938144,0.000395835,0.00002863088,0.005573278,0.0001771239,0.000006659969,0.0001100277,0.00004849329,0.9897218],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2777723,"threshold_uncertainty_score":0.9292409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354657344234626,"score_gpt":0.2463720063492353,"score_spread":0.232825432906889,"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."}}