{"id":"W6926815599","doi":"10.25446/oxford.25027751","title":"9099: Saved by a pay book","year":2024,"lang":"en","type":"other","venue":"University of Oxford","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Medal; Shot (pellet); First world war; World War II","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":[],"category_scores_codex":[0.00003231175,0.0001307702,0.0002958034,0.0001411692,0.00001485406,0.000003486136,0.0001034074,0.0002247737,0.01828462],"category_scores_gemma":[0.000009094774,0.00009745097,0.0001298144,0.00008302047,0.00008964818,0.00001477059,0.00005980991,0.0001937619,0.0003490244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630644,"about_ca_system_score_gemma":0.0000460386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003477651,"about_ca_topic_score_gemma":0.00004402749,"domain_scores_codex":[0.9994783,0.000009431626,0.00005992358,0.0002376647,0.000100526,0.0001140995],"domain_scores_gemma":[0.999633,0.000005776017,0.0000685799,0.0002098847,0.0000219127,0.00006087837],"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":[0.00005151768,0.00003087541,0.000007322776,0.0003935458,0.0001645315,0.00004323529,0.00004060005,2.509118e-9,0.005159206,0.00002858922,0.9920029,0.002077691],"study_design_scores_gemma":[0.0002660336,0.00006314174,0.00000623166,0.000511745,0.0002824647,0.000006924157,0.0000546311,6.577029e-7,0.001517406,0.000005480887,0.997168,0.0001172781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009676847,0.00604083,0.00001201454,0.003884129,0.000225939,0.0002835215,0.0002684056,0.000111365,0.989077],"genre_scores_gemma":[0.0005291005,0.002462044,0.0003893349,0.0002228358,0.0001296397,5.376485e-9,0.00006132819,0.00008986577,0.9961159],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01793559,"threshold_uncertainty_score":0.9826128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006797994145166583,"score_gpt":0.1948726344953062,"score_spread":0.1880746403501396,"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."}}