{"id":"W6945241366","doi":"10.25446/oxford.25805797","title":"55075: Tyne Cot British Military Cemetery","year":2024,"lang":"en","type":"other","venue":"University of Oxford","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newcastle upon tyne; Settlement (finance); Government (linguistics); Harbour","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":[0.0002346773,0.0006750855,0.0002812639,0.001071879,0.0064332,0.002758791,0.0006270306,0.001306701,0.7347471],"category_scores_gemma":[0.0007424749,0.0003963798,0.0002143142,0.00098515,0.0007670504,0.001008525,0.001575356,0.001623615,0.3758661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004778364,"about_ca_system_score_gemma":0.005612255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3917664,"about_ca_topic_score_gemma":0.790447,"domain_scores_codex":[0.9996988,0.00001326831,0.000006959715,0.0000637827,0.0001160865,0.0001011757],"domain_scores_gemma":[0.9993709,0.00002193631,0.00001224148,0.00002588296,0.000323751,0.0002452645],"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":[0.00004868369,0.00001344185,0.0004510144,0.00005705395,0.000001375901,0.0002037102,0.0002726628,0.00005582459,0.0005364867,0.006441974,0.9406078,0.05130989],"study_design_scores_gemma":[0.000001750673,0.00000547193,0.0008759215,0.0000250365,5.156795e-7,0.00004991155,0.0002367468,0.00001624124,0.0001233458,0.0001562001,0.9985049,0.000003994098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001359185,0.0003134452,0.0001917158,0.001062206,0.0005875243,0.00004780852,0.002317409,0.0002716062,0.9938492],"genre_scores_gemma":[0.001339272,0.00007199432,0.00006427242,0.00008060828,0.00001164473,0.000004543534,0.000222925,0.0000568575,0.9981478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7347471,"threshold_uncertainty_score":0.7789722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007955103504117695,"score_gpt":0.2154372078878033,"score_spread":0.2074821043836856,"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."}}