{"id":"W4379742142","doi":"10.18192/rceh.v45i2.6709","title":"DAVID ARBESÚ, ED. Sendebar: Libro de los engaños e los asayamientos de las mugeres. Newark, DE: Juan de la Cuesta, 2019. 152 pp.","year":2023,"lang":"es","type":"article","venue":"Revista Canadiense de Estudios Hispánicos","topic":"Medieval Iberian Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003630653,0.001456309,0.001873166,0.000630929,0.001863335,0.001589155,0.001253013,0.0006355789,0.001052166],"category_scores_gemma":[0.002649149,0.001541337,0.0007352812,0.000582238,0.001222218,0.0003863388,0.0006501771,0.001699806,0.0008488991],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004499449,"about_ca_system_score_gemma":0.00374807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008166338,"about_ca_topic_score_gemma":0.0214285,"domain_scores_codex":[0.9897047,0.002172685,0.001408388,0.001524279,0.0009348482,0.004255152],"domain_scores_gemma":[0.9931338,0.002157693,0.0005944779,0.00164421,0.0004342335,0.002035539],"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":[0.000154244,0.0003802525,0.01128451,0.002339817,0.001143138,0.004146659,0.0272917,0.0001010005,0.0007955651,0.2978887,0.6520566,0.002417811],"study_design_scores_gemma":[0.001594097,0.0003786583,0.01009343,0.002164399,0.001178145,0.0004973567,0.005820862,0.001232742,0.0002395967,0.0002703449,0.9748605,0.001669816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532012,0.03525937,0.00006488066,0.001280726,0.000900143,0.001721772,0.002164029,0.0006683487,0.004739579],"genre_scores_gemma":[0.9442395,0.03318034,0.0004620778,0.002609818,0.004125567,0.0005274185,0.0001837055,0.0005473561,0.01412421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3228039,"threshold_uncertainty_score":0.9999291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926587258759005,"score_gpt":0.2684240431229879,"score_spread":0.2491581705353978,"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."}}