{"id":"W4412190386","doi":"10.37536/rlm.2025.37.1.113720","title":"Como lo fazen agora. Sobre los mecanismos de actualización en la General estoria","year":2025,"lang":"es","type":"article","venue":"Revista de Literatura Medieval","topic":"Social Sciences and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Agora; Humanities; Philosophy; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002903437,0.0003764473,0.0002794879,0.001468771,0.004217098,0.005951512,0.0008156628,0.00158384,0.004977818],"category_scores_gemma":[0.003924946,0.0002170983,0.0003398777,0.001821567,0.01321254,0.004611625,0.002063534,0.0029752,0.0005401856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004960155,"about_ca_system_score_gemma":0.005137154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03201535,"about_ca_topic_score_gemma":0.04559929,"domain_scores_codex":[0.9971898,0.001543599,0.0001073706,0.0003263039,0.0005070458,0.000325987],"domain_scores_gemma":[0.9979531,0.0009749018,0.0002768794,0.0002769681,0.0004143993,0.0001038022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002210688,0.0000166223,0.002325053,0.000164208,0.000007795754,0.0001657104,0.05622688,0.00008756459,0.0002501847,0.9154734,0.004692039,0.02056849],"study_design_scores_gemma":[0.00001166751,0.00004609321,0.01490614,0.001833167,0.00003472496,0.0004245384,0.1127488,0.000279617,0.0008427541,0.133666,0.7351751,0.00003145512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1565125,0.02651728,0.01659429,0.05324575,0.001602433,0.00005939924,0.0002576442,0.0001155012,0.7450953],"genre_scores_gemma":[0.9371797,0.008546168,0.002472605,0.002236589,0.0002590865,0.00004009561,0.0001032688,0.00005866979,0.04910397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03201535,"threshold_uncertainty_score":0.063658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009133085537164297,"score_gpt":0.3458714019607994,"score_spread":0.3367383164236351,"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."}}