{"id":"W4406112873","doi":"10.1007/978-3-031-74093-0_11","title":"Gottfried von Strassburg’s Tristan and the Allegory of Law","year":2025,"lang":"en","type":"book-chapter","venue":"Crossroads of knowledge in early modern literature.","topic":"Historical, Literary, and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Allegory; Art; Philosophy; Literature; Art history; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005841283,0.0004805301,0.0002194569,0.001260919,0.003423758,0.003433216,0.000485969,0.002060846,0.008660678],"category_scores_gemma":[0.001466806,0.0002552867,0.0001668161,0.0009692074,0.008964626,0.004289998,0.002034369,0.003586674,0.002611697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004767349,"about_ca_system_score_gemma":0.003224094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02765461,"about_ca_topic_score_gemma":0.05562883,"domain_scores_codex":[0.9995283,0.0001824131,0.00001443496,0.00008368104,0.00008779915,0.0001034094],"domain_scores_gemma":[0.9997893,0.00009789546,0.00001867132,0.00002544821,0.00004377726,0.00002495421],"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":[0.00001016737,0.000003008993,0.00006103319,0.00002277892,0.000001516112,0.00006464853,0.003306656,0.00004701711,0.00004979664,0.9201415,0.06655525,0.009736636],"study_design_scores_gemma":[0.000004103551,0.000004746177,0.0002616693,0.0001938012,0.00000231648,0.0001413575,0.001405668,0.00004445143,0.0001486171,0.162374,0.8354135,0.000005795733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009321438,0.09149607,0.002113103,0.06793903,0.003080463,0.00001744006,0.0001428147,0.00009217312,0.8257975],"genre_scores_gemma":[0.3800358,0.03262145,0.001592758,0.01337769,0.0009953867,0.00005218663,0.0001198369,0.000259094,0.5709459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02765461,"threshold_uncertainty_score":0.05498731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192077338035921,"score_gpt":0.2316045873332713,"score_spread":0.2123968535296792,"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."}}