{"id":"W7117349956","doi":"","title":"The Impact of the 1938 Fascist Anti-Semitic Laws on Italian Universities: The Case of Veterinary Medicine","year":2025,"lang":"en","type":"article","venue":"Padua Research Archive (University of Padova)","topic":"Historical Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Dismissal; Politics; Veterinary education; Damages; Quality (philosophy); Institution; Human medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001271633,0.0001455514,0.0003949039,0.0003533119,0.0009516267,0.000005716076,0.0007824011,0.0000624134,0.0001607179],"category_scores_gemma":[0.001468001,0.00007382571,0.0003293098,0.001156209,0.005033662,0.00005186593,0.0005214564,0.0007340556,0.00001217306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000463407,"about_ca_system_score_gemma":0.0009456989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231838,"about_ca_topic_score_gemma":0.0004601933,"domain_scores_codex":[0.9970882,0.0009577865,0.0001989894,0.0002615794,0.0009857833,0.0005076666],"domain_scores_gemma":[0.9940561,0.004259625,0.0001143461,0.0008493262,0.0004218518,0.0002987348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02510885,0.005996565,0.04646419,0.003342457,0.00890516,0.02740601,0.0337042,0.00007621456,0.381972,0.03010859,0.2913005,0.1456152],"study_design_scores_gemma":[0.02594771,0.03873409,0.6008081,0.008096192,0.001087665,0.0009430151,0.2004543,0.0333124,0.001839889,0.02589136,0.06219693,0.0006883349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166588,0.0006808694,0.003011464,0.01891328,0.0001424257,0.001513403,0.0003087336,0.00002039505,0.05875061],"genre_scores_gemma":[0.9944162,0.0003403809,0.0002785171,0.00002460533,0.00002583831,0.000001199091,0.00001037176,0.000008033549,0.004894863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5543439,"threshold_uncertainty_score":0.997674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05949748997564996,"score_gpt":0.3917573767682539,"score_spread":0.3322598867926039,"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."}}