{"id":"W4401030181","doi":"10.1353/nin.2024.a933533","title":"Black Stats Matter: Integrating Negro League Numbers into Major League Records by Philip Lee (review)","year":2024,"lang":"en","type":"article","venue":"Nine","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"League; History; Geography; Genealogy; Physics; Astronomy","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":[0.001001127,0.0002211744,0.0003629258,0.00004061714,0.0004741266,0.00008604984,0.0003672058,0.0001102737,0.01031251],"category_scores_gemma":[0.0002172056,0.0002041304,0.000224776,0.0005937788,0.0008771777,0.00029996,0.00004650097,0.0004295337,0.002002673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239748,"about_ca_system_score_gemma":0.0002539869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216154,"about_ca_topic_score_gemma":0.002962891,"domain_scores_codex":[0.9979814,0.0002524376,0.000380328,0.000488918,0.0004495314,0.0004473267],"domain_scores_gemma":[0.9991382,0.000204037,0.000121189,0.0002607622,0.000079011,0.0001967676],"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":[0.00000285489,0.00002540955,0.0007725523,0.0002296509,0.00003166081,0.00000732795,0.0172516,5.657734e-7,0.0004901303,0.000338449,0.9492294,0.03162043],"study_design_scores_gemma":[0.00009722856,0.00003385225,0.00006895561,0.0005324059,0.00004588984,0.000001399068,0.01299608,0.00004511322,0.00005420517,0.0001037557,0.985758,0.000263115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02398185,0.081327,0.001003864,0.0299262,0.003259516,0.0008152997,0.00007154924,0.0006812083,0.8589335],"genre_scores_gemma":[0.1161817,0.04295613,0.003930083,0.01505294,0.002870934,0.0001335305,0.0001395551,0.0001623958,0.8185727],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09219988,"threshold_uncertainty_score":0.9987744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257068383796259,"score_gpt":0.3063568657361229,"score_spread":0.2937861818981603,"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."}}