{"id":"W7019146547","doi":"","title":"Episode 51 : Is it fixed? Are they starting with 4680's? Is it delayed again?","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); MEDLINE; 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":[0.0004469495,0.0003404131,0.0003571509,0.0002885005,0.005765639,0.005047377,0.0007480048,0.002513647,0.4000931],"category_scores_gemma":[0.002641169,0.0002583032,0.0002077428,0.0005575388,0.0005071372,0.002749743,0.00311711,0.003516132,0.1872011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002208048,"about_ca_system_score_gemma":0.002441284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07977062,"about_ca_topic_score_gemma":0.1710626,"domain_scores_codex":[0.9994261,0.00007744975,0.00001944037,0.00004002027,0.0001597067,0.0002773484],"domain_scores_gemma":[0.9990965,0.00006476737,0.00004800762,0.00003647326,0.0002376723,0.000516591],"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":[0.00001049391,0.000007611441,0.0001844282,0.00001452359,4.040985e-7,0.00008529113,0.000587209,0.000006839725,0.00003909608,0.001081484,0.9936537,0.004329015],"study_design_scores_gemma":[0.000002602167,0.000004704273,0.0009288955,0.00003970763,8.495521e-7,0.00005569093,0.002650131,0.00001655446,0.00006186674,0.0003067222,0.9959278,0.000004522809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003592088,0.0003441697,0.0003645749,0.02639437,0.002465713,0.0001197512,0.00506512,0.0005346244,0.9611195],"genre_scores_gemma":[0.01165503,0.0003010103,0.00009432642,0.00867984,0.0003193765,0.00005015178,0.001724228,0.0004117408,0.9767643],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5999069,"threshold_uncertainty_score":0.8556944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103718621686365,"score_gpt":0.2068054907863855,"score_spread":0.196433628617749,"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."}}