{"id":"W6907901136","doi":"10.25446/oxford.25806361","title":"57279: 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":[0.000126014,0.0003783233,0.0005871818,0.000896127,0.00004321956,0.00002000949,0.0006744355,0.0004329597,0.009374005],"category_scores_gemma":[0.00001535966,0.0004718226,0.0003168397,0.0004131235,0.0004150711,0.00005320073,0.0003318259,0.0003597688,0.009063123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022853,"about_ca_system_score_gemma":0.0001330928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975352,"about_ca_topic_score_gemma":0.0006478516,"domain_scores_codex":[0.998505,0.00006029681,0.0001300171,0.00055395,0.0003909622,0.0003597944],"domain_scores_gemma":[0.9988724,0.00002665454,0.0002957332,0.0006015277,0.00005432804,0.0001493414],"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":[0.00006989232,0.000007727083,0.00004209914,0.0003335495,0.000626936,0.0002369227,0.0003141573,8.716776e-7,0.0003956445,0.001507087,0.9960499,0.0004151833],"study_design_scores_gemma":[0.0006208901,0.00007488961,0.00001131265,0.0004466589,0.0004632832,0.00000584177,0.000943195,0.00002805931,0.00004344299,0.00006908723,0.9968464,0.0004469301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003104286,0.0006943111,0.0001299639,0.00009406517,0.0004880554,0.0003214212,0.001794157,0.0007812124,0.9953864],"genre_scores_gemma":[0.001183979,0.000272007,0.001610339,0.00003656969,0.0001131613,1.186822e-7,0.000147244,0.0009375543,0.995699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.001646913,"threshold_uncertainty_score":0.9997733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212173093064299,"score_gpt":0.2126601806569981,"score_spread":0.1914428713505682,"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."}}