{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006933489,0.0001733463,0.0003323304,0.00008054684,0.0001625791,0.00001788862,0.0003397345,0.0002134716,0.9070593],"category_scores_gemma":[0.0003283817,0.0001136065,0.0001277393,0.00001868114,0.0002857524,7.10857e-8,0.0001462334,0.000623284,0.01133831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009144962,"about_ca_system_score_gemma":0.0001528641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006743093,"about_ca_topic_score_gemma":0.0006730498,"domain_scores_codex":[0.9977123,0.0001028979,0.0004958373,0.0001720151,0.001179836,0.0003370802],"domain_scores_gemma":[0.9988279,0.0001258665,0.0003124375,0.0004114026,0.0001017122,0.0002207279],"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":[0.00008158583,0.00003680932,0.00001113676,0.0007646377,0.00002272083,0.00001671086,0.00008420969,0.000009120326,7.867759e-8,0.0000469575,0.9960499,0.002876095],"study_design_scores_gemma":[0.0004280434,0.0002792016,0.00005405479,0.0001668471,0.00003477401,0.0001212327,0.0001597486,0.00004456038,4.295323e-7,0.000008334617,0.9985926,0.0001101742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001721134,0.0008931333,2.127525e-7,0.003836223,0.0002913253,0.0007278526,0.00005078955,0.00008665466,0.9940966],"genre_scores_gemma":[0.0001139433,0.001025354,0.0002611549,0.001761772,0.0003097561,0.00004071031,0.0001475015,0.00004964203,0.9962901],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.895721,"threshold_uncertainty_score":0.9998711,"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."}}