{"id":"W6926860427","doi":"10.25446/oxford.25805716","title":"55036: Tyne Cot British Military Cemetery","year":2024,"lang":"en","type":"other","venue":"University of Oxford","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Settlement (finance); Harbour; George (robot)","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":[],"consensus_categories":[],"category_scores_codex":[0.00002980365,0.0001219742,0.0001803857,0.0000542818,0.00002434799,0.000003380737,0.0001864154,0.0001958802,0.0003032136],"category_scores_gemma":[0.000004480231,0.000167028,0.0001363444,0.00003585891,0.0001203372,1.809337e-7,0.0002304467,0.00005972884,0.00002662234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007653358,"about_ca_system_score_gemma":0.00003360704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135255,"about_ca_topic_score_gemma":0.001945815,"domain_scores_codex":[0.9994604,0.00001227748,0.00006512773,0.0002755655,0.00006161265,0.0001250004],"domain_scores_gemma":[0.9996755,0.000002209286,0.00004204933,0.0002183859,0.00002340931,0.00003847685],"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":[0.00001689842,0.00002259214,0.0001290055,0.0001335138,0.0003499174,0.00003045938,0.00003826928,0.000001656291,0.005098014,0.00001650266,0.9916261,0.002537041],"study_design_scores_gemma":[0.0001824694,0.0001010405,0.0002185747,0.00007413999,0.00007595796,0.000006797998,0.0001335894,0.00000174869,0.0002045955,0.00004411235,0.9987901,0.0001668723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03218707,0.05354388,0.0001741383,0.0001135057,0.0006546177,0.0002416266,0.001059806,0.00002135004,0.912004],"genre_scores_gemma":[0.01790304,0.01691785,0.00132829,0.00006623338,0.000216823,2.064004e-7,0.0001344575,0.0001292823,0.9633038],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05129981,"threshold_uncertainty_score":0.6811202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042032517339848,"score_gpt":0.1825974167480624,"score_spread":0.1721770915746639,"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."}}