{"id":"W6889178750","doi":"10.25446/oxford.25806364","title":"57282: Essex Farm Cemetery: Concrete bunkers","year":2024,"lang":"en","type":"other","venue":"University of Oxford","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artillery; Bunker; Offensive; Clearing; Suez canal; Ammunition","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001238592,0.000378181,0.0005838465,0.0008944007,0.00004338712,0.00002001246,0.000686407,0.0004370786,0.009703125],"category_scores_gemma":[0.00001569203,0.0004718138,0.0003167164,0.0004125811,0.0004158316,0.00005245569,0.0003331495,0.0003600592,0.0090606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202401,"about_ca_system_score_gemma":0.0001292324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988927,"about_ca_topic_score_gemma":0.0006213977,"domain_scores_codex":[0.998506,0.00005937506,0.000131325,0.0005522882,0.0003910666,0.0003599476],"domain_scores_gemma":[0.9988744,0.00002698536,0.0002953343,0.0006005784,0.00005522146,0.0001475389],"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":[0.0000698982,0.00000752583,0.00004503665,0.0003317404,0.00062942,0.0002264623,0.0003121654,8.112094e-7,0.0004069192,0.001524316,0.9960629,0.0003827618],"study_design_scores_gemma":[0.0006291061,0.0000733219,0.000012402,0.0004668183,0.0004546519,0.000005663438,0.0009388541,0.00002343481,0.00004718824,0.00007124383,0.9968302,0.0004471261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003245521,0.0006851389,0.0001207875,0.00009367288,0.0004839249,0.0003186612,0.001753588,0.0007806517,0.995439],"genre_scores_gemma":[0.00116482,0.0002764331,0.001647068,0.00003682221,0.0001149922,1.169377e-7,0.0001504805,0.0009396777,0.9956696],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.001603108,"threshold_uncertainty_score":0.9997734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147331867197407,"score_gpt":0.2119135426566663,"score_spread":0.1904402239846923,"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."}}