{"id":"W4407658539","doi":"10.5117/9789463728072_ch03","title":"The reception of Dioscorides's De materia medica in a sixteenth-century Latin-Italian glossary: Benedetto Varchi's Inventario d'herbe (ca. 1540)—text and translation","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Materia medica; Glossary; Art; Humanities; Traditional medicine; Classics; Philosophy; Linguistics; Medicine","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":[0.0008489782,0.0005523496,0.0003462746,0.002770843,0.002017159,0.003042568,0.0004114663,0.0006001596,0.008152631],"category_scores_gemma":[0.001228754,0.0001901015,0.000164794,0.001959461,0.004204152,0.001842815,0.001337322,0.001910905,0.001513796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00665587,"about_ca_system_score_gemma":0.001977079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167216,"about_ca_topic_score_gemma":0.022284,"domain_scores_codex":[0.9995604,0.0001122561,0.000023268,0.000061205,0.0001785362,0.00006432618],"domain_scores_gemma":[0.9995584,0.0002416673,0.00004861776,0.00003342807,0.00008043519,0.0000373951],"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":[0.00007615716,0.0000214633,0.000635191,0.0008286069,0.000007885055,0.0003706678,0.03161666,0.00009821513,0.001436665,0.4159982,0.4734004,0.07550982],"study_design_scores_gemma":[0.000002244915,0.00000588295,0.001063614,0.000188724,0.000001154597,0.00009587326,0.0006844325,0.00001128072,0.00008776147,0.001364545,0.9964901,0.000004366791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01846431,0.1399767,0.001287612,0.02583384,0.01392795,0.0000718032,0.0007055298,0.0001825721,0.7995498],"genre_scores_gemma":[0.306178,0.07631908,0.00340741,0.01039466,0.01274246,0.000211326,0.0009341196,0.0005408812,0.5892721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01167216,"threshold_uncertainty_score":0.04829198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718865932734132,"score_gpt":0.2252840564260017,"score_spread":0.1980953970986604,"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."}}