{"id":"W7033692721","doi":"","title":"Reuben Crowders aka Ernest Hogan (1860-1909). Born in Bowling Green, Kentucky","year":2021,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hogan; AKA; Performance art; Photography; Metis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005705698,0.0001984379,0.0003657115,0.0004036508,0.0003097527,0.0001112766,0.001130869,0.0001332782,0.0001525364],"category_scores_gemma":[0.0001385607,0.0002591579,0.0001423306,0.001003804,0.0001152318,0.001345192,0.0006005585,0.00026644,0.0001700773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349245,"about_ca_system_score_gemma":0.0003198658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001089831,"about_ca_topic_score_gemma":0.000463397,"domain_scores_codex":[0.9983032,0.00009614053,0.000401848,0.0004467395,0.0003601574,0.0003918854],"domain_scores_gemma":[0.99826,0.0001010564,0.0003742775,0.0006875697,0.0004237213,0.0001533519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001276849,0.002240716,0.03239581,0.005697527,0.0003900396,0.00120384,0.3064127,0.001197541,0.003443904,0.2272373,0.04874393,0.370909],"study_design_scores_gemma":[0.007496374,0.0002926429,0.02412085,0.002950163,0.0001216369,0.0002173608,0.02821093,0.6948246,0.01038189,0.02523296,0.2034269,0.002723712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2784724,0.0008088587,0.5201617,0.00177606,0.0009562706,0.0003522974,0.000007850813,0.0004469767,0.1970176],"genre_scores_gemma":[0.9189644,0.000181552,0.06988019,0.00025749,0.0001199854,5.871138e-7,0.0000284563,0.000027771,0.01053958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6936271,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268047126073693,"score_gpt":0.2008114053433845,"score_spread":0.1881309340826476,"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."}}