{"id":"W6889147344","doi":"10.25446/oxford.25806379","title":"57299: Essex Farm Cemetery: dressing station in concrete bunkers","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artillery; Bunker; Clearing; Offensive; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003660216,0.0008739933,0.0001953924,0.0007911085,0.01035665,0.002652006,0.001426957,0.005278536,0.3664995],"category_scores_gemma":[0.000690813,0.0006814562,0.0002622191,0.0006661707,0.0007010879,0.001288899,0.003189319,0.0026384,0.06004199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254049,"about_ca_system_score_gemma":0.002920302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05274295,"about_ca_topic_score_gemma":0.2469398,"domain_scores_codex":[0.999557,0.00004582829,0.00001921125,0.00007406507,0.0001359542,0.0001679382],"domain_scores_gemma":[0.9996771,0.0000226331,0.00002029751,0.00001838416,0.00007776505,0.0001838315],"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":[0.0003146884,0.0002612412,0.006930482,0.0002949641,0.00001442832,0.02983818,0.005486853,0.0004998398,0.01100002,0.006866571,0.8611757,0.07731704],"study_design_scores_gemma":[0.00001170206,0.0001160556,0.007038434,0.0000856599,0.000001945117,0.001805134,0.00345877,0.00007509405,0.000477948,0.0001801646,0.9867353,0.00001390423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07042866,0.002287604,0.001081686,0.01134387,0.006294818,0.000938411,0.004126367,0.001223684,0.9022748],"genre_scores_gemma":[0.01644249,0.0002916567,0.0002688792,0.0006865778,0.0001986268,0.00004572841,0.0003865888,0.0001094313,0.9815701],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3664995,"threshold_uncertainty_score":0.9036117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08047428938843543,"score_gpt":0.3569857140149529,"score_spread":0.2765114246265175,"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."}}