{"id":"W7067862628","doi":"","title":"3.4 MU registrar informed Lloyd Gaines that he was not eligible to attend the University of Missouri due to the fact that Gaines was a Negro","year":2015,"lang":"en","type":"article","venue":"Blue Tiger Commons (Lincoln University - Missouri)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Representation (politics)","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":[0.00059926,0.0004280021,0.0006764773,0.0003084146,0.000726676,0.00005852412,0.00131519,0.000242112,0.0001100821],"category_scores_gemma":[0.0008077764,0.0003206566,0.0003280462,0.0008502189,0.0003826651,0.0002217215,0.0008527075,0.0005116997,0.0003147558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000341583,"about_ca_system_score_gemma":0.0005181875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006000525,"about_ca_topic_score_gemma":0.004594442,"domain_scores_codex":[0.9975961,0.0002429534,0.0002641644,0.0004852344,0.0007386399,0.0006729307],"domain_scores_gemma":[0.9960389,0.001085815,0.0002499789,0.001374712,0.0003854996,0.0008650554],"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":[0.006581003,0.000882734,0.07601309,0.0002633771,0.0009727777,0.0022691,0.03746914,0.004393004,0.0005943368,0.0007559037,0.8643602,0.005445314],"study_design_scores_gemma":[0.003973995,0.0006509151,0.05008966,0.0005349334,0.0006582813,0.0001816335,0.03079934,0.0004186977,0.004608711,0.00005084819,0.9074093,0.0006236499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339334,0.0002976289,0.001868003,0.04801392,0.0002475666,0.001389682,0.0002789339,0.0002264593,0.01374437],"genre_scores_gemma":[0.9785739,0.00006984417,0.00105822,0.001124217,0.0001454779,0.000001301786,0.00008523017,0.00003518769,0.01890665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0468897,"threshold_uncertainty_score":0.9999245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06787234266857128,"score_gpt":0.2644429702036706,"score_spread":0.1965706275350993,"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."}}