{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004915039,0.0001380365,0.0001788163,0.00009565541,0.0004293699,0.0001163879,0.0003524747,0.0001331685,0.007412965],"category_scores_gemma":[0.0001342318,0.0001278045,0.0000750903,0.0007090495,0.0002663946,0.0001893289,0.00006183491,0.0001812569,0.003111149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007294495,"about_ca_system_score_gemma":0.0002073678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058939,"about_ca_topic_score_gemma":0.009098283,"domain_scores_codex":[0.9984567,0.0001581371,0.000197464,0.0002927792,0.0004291282,0.0004658635],"domain_scores_gemma":[0.999348,0.00009925525,0.00004595284,0.0001899383,0.0001929565,0.0001239159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008790064,0.0002489088,0.005635463,0.00003672068,0.0001658434,0.00022639,0.1921916,0.0001807931,0.007737231,0.5827658,0.1985169,0.01220638],"study_design_scores_gemma":[0.0001908461,0.0001758236,0.00212591,0.00003555612,0.0000185473,0.000002221504,0.01297404,0.0004995432,0.004550093,0.001531658,0.9774721,0.0004237174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.175206,0.0002682795,0.00007960675,0.002159471,0.001578592,0.0004244621,0.00003073756,0.0004680648,0.8197848],"genre_scores_gemma":[0.8637937,0.0001583417,0.000114873,0.0004769416,0.0008935986,0.00003070981,0.00001386454,0.00002264194,0.1344953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7789551,"threshold_uncertainty_score":0.997665,"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."}}