{"id":"W4387397872","doi":"10.1353/nin.2023.a903317","title":"A Legend Like No Other: Yankees Shortstop Turned CIA Operative","year":2023,"lang":"en","type":"article","venue":"Nine","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legend; Art history; History; Art; Classics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003560688,0.0007880128,0.0004620287,0.000893026,0.006762832,0.006691992,0.0009874207,0.001640362,0.7260412],"category_scores_gemma":[0.001178993,0.000426281,0.0002746827,0.0007945127,0.0007850231,0.002749915,0.00311032,0.003688816,0.4218395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952605,"about_ca_system_score_gemma":0.00227413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0415157,"about_ca_topic_score_gemma":0.1162356,"domain_scores_codex":[0.9995812,0.00002587169,0.00000915241,0.00008495647,0.0001532425,0.0001455887],"domain_scores_gemma":[0.9989256,0.00003492827,0.00002141949,0.00006565911,0.0003880253,0.0005643283],"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":[0.00002203161,0.000009329365,0.00009302051,0.00001675982,5.556092e-7,0.00004968053,0.00007958621,0.000008827754,0.0001667884,0.001525968,0.9896622,0.008365338],"study_design_scores_gemma":[0.000003013771,0.000003946768,0.0001879264,0.00001962708,5.570728e-7,0.0000444108,0.0002343911,0.000009226495,0.00006666469,0.0001194178,0.9993061,0.000004519446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001340651,0.0007114424,0.0005766306,0.004645784,0.01458917,0.00006107624,0.001260875,0.001875497,0.9749389],"genre_scores_gemma":[0.005202117,0.0002912636,0.0002641855,0.0009554047,0.000361027,0.00001841919,0.0005504414,0.0005701865,0.9917869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7260412,"threshold_uncertainty_score":0.3907689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04493839310343021,"score_gpt":0.3737616445126012,"score_spread":0.328823251409171,"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."}}