{"id":"W6945585410","doi":"10.25446/oxford.25920505","title":"Lucky escape of Helen Meyer and her dinner guests","year":2024,"lang":"en","type":"other","venue":"University of Oxford","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"nobody; Nazism; Charge (physics); Judaism; Antique; Quarter (Canadian coin); Nazi Germany","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":[0.00006329853,0.0001086625,0.0001873479,0.000247086,0.00001430053,0.00002167474,0.0006637191,0.00007627602,0.0003253846],"category_scores_gemma":[0.000001862434,0.0001118438,0.0000516254,0.0001570832,0.00007888456,0.0001596924,0.0007730287,0.00006641746,0.00004961802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008125349,"about_ca_system_score_gemma":0.0000128129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001847259,"about_ca_topic_score_gemma":0.00007272419,"domain_scores_codex":[0.9994094,0.00001162212,0.00006202934,0.000262845,0.0001503155,0.0001037665],"domain_scores_gemma":[0.9994969,0.00000701077,0.00009014452,0.000354464,0.00001623991,0.00003526571],"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":[0.000003118803,0.00003085267,0.00009467238,0.0003025432,0.0001441187,0.00005044292,0.000242488,3.722735e-7,0.000008406051,0.01815408,0.9574206,0.02354825],"study_design_scores_gemma":[0.0001601675,0.00003098959,0.0001066012,0.0001577935,0.00004128755,7.655407e-7,0.00006261295,0.0004951027,0.00001077272,0.0003630928,0.9984477,0.0001230895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001032454,0.0008348413,0.0230027,0.0003442216,0.0004017936,0.0001467493,0.00007201301,0.0001374869,0.9749569],"genre_scores_gemma":[0.000440725,0.0006332289,0.02195947,0.00001966886,0.00003521392,4.684599e-8,0.00001473437,0.00003766,0.9768593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04102707,"threshold_uncertainty_score":0.4560857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007468774890618561,"score_gpt":0.1892304732702959,"score_spread":0.1817616983796773,"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."}}