{"id":"W3084264919","doi":"10.1093/oxfordhb/9780199582655.013.22","title":"Medicine and Science in Chaucer’s Day","year":2020,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Historical Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vernacular; Encyclopedia; Vocabulary; Scientific terminology; Literature; Classics; Medical science; History of English; History; English language; Art; Philosophy; Linguistics; Medicine; Medical education","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":[0.001264796,0.0003290579,0.0003351919,0.001012796,0.006918199,0.00556993,0.0005076925,0.002319228,0.006992751],"category_scores_gemma":[0.00121095,0.0001560948,0.0001619939,0.0007265526,0.01685733,0.002756225,0.002862337,0.004177446,0.001039206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006431213,"about_ca_system_score_gemma":0.00360762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476931,"about_ca_topic_score_gemma":0.03348611,"domain_scores_codex":[0.9990925,0.0004573417,0.00002156975,0.0001047835,0.0001831214,0.0001407294],"domain_scores_gemma":[0.9992933,0.0004161201,0.00003411825,0.00004203337,0.00008894799,0.0001254155],"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":[0.00002311772,0.00003465219,0.0001231929,0.000117608,0.00000180719,0.0002786348,0.04759862,0.00005868017,0.0002224137,0.8583701,0.07721014,0.01596099],"study_design_scores_gemma":[0.00000336743,0.00001270308,0.0001918331,0.0001262939,7.20006e-7,0.0001371049,0.003736474,0.00002251227,0.00006069908,0.01942858,0.976274,0.00000561953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01511501,0.0887175,0.0006993235,0.05007487,0.00486737,0.00002850532,0.000051,0.00004270224,0.8404038],"genre_scores_gemma":[0.5098494,0.02826648,0.001273375,0.01902574,0.004465261,0.0000489734,0.0000662394,0.00008970673,0.4369148],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01476931,"threshold_uncertainty_score":0.04666191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722992349874924,"score_gpt":0.2154623903161437,"score_spread":0.1682324668173945,"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."}}