{"id":"W4253193180","doi":"10.1007/978-94-015-9779-1_3","title":"Ancient-Modern Concordance in Ayurvedic Plants: Some Examples","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Phytochemicals and Medicinal Plants","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Pharmacopoeia; Traditional medicine; Concordance; Modern medicine; Medicine; Alternative medicine; Biotechnology; Biology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002048636,0.000436466,0.001002972,0.0002430681,0.00002564107,0.000008826255,0.0001686303,0.0004441428,0.00129068],"category_scores_gemma":[0.00006714035,0.0003510385,0.0001373423,0.00003150897,0.0001645946,0.0000771792,0.00006475763,0.0007424377,0.0002811135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000180794,"about_ca_system_score_gemma":0.0002547305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009264333,"about_ca_topic_score_gemma":0.000114885,"domain_scores_codex":[0.9977313,0.000007466923,0.0005601874,0.0006031662,0.0005901657,0.0005077473],"domain_scores_gemma":[0.998811,0.0001229402,0.0001655953,0.0004680089,0.00005677437,0.0003756955],"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":[0.005616798,0.001508907,0.01635746,0.004168207,0.001466844,0.03055326,0.001211598,0.000005908521,0.103352,0.09956677,0.4846201,0.2515721],"study_design_scores_gemma":[0.004935794,0.0004816205,0.003259351,0.00658403,0.0001969112,0.001245411,0.00004695785,0.0001033101,0.001245906,0.02529045,0.9557331,0.0008772091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01992821,0.01107938,0.00007736996,0.0003179606,0.0004003518,0.0006574003,0.0001175238,0.0001161275,0.9673057],"genre_scores_gemma":[0.1137301,0.008862203,0.0002120814,0.008286737,0.001639566,0.00002936097,0.0006991774,0.0001282036,0.8664126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4711129,"threshold_uncertainty_score":0.9998941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166748688688324,"score_gpt":0.2769506392800979,"score_spread":0.2352831523932147,"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."}}