{"id":"W4221114275","doi":"10.1201/9781003082767-4","title":"Fenugreek in Traditional Persian Medicine","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persian; Traditional medicine; Medicine; Ancient history; History; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000118063,0.0002711421,0.0006270084,0.0003026429,0.00007072301,0.0000018809,0.00009398982,0.0001385087,0.1012135],"category_scores_gemma":[0.00003595354,0.0002007724,0.0001346991,0.00004633722,0.0002285215,0.00002586537,0.00008401807,0.0007699381,0.0001724911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566671,"about_ca_system_score_gemma":0.00007445746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005734327,"about_ca_topic_score_gemma":0.00003948497,"domain_scores_codex":[0.9984895,0.000008356878,0.0003255957,0.0003460897,0.0006293124,0.0002011228],"domain_scores_gemma":[0.9995018,0.00008417082,0.00008065359,0.0001911268,0.00004504251,0.00009725945],"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":[0.00013865,0.00009634208,0.0006182616,0.0002269731,0.0004512329,0.001611096,0.00052424,3.628398e-7,0.0000429037,0.6816279,0.308229,0.006433038],"study_design_scores_gemma":[0.001943047,0.0006218667,0.005533404,0.0004485021,0.0002502629,0.000191453,0.0002453446,0.000006228125,0.000003263805,0.01595683,0.9744859,0.0003138794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001990592,0.002611231,0.000001351617,0.02134695,0.0003830944,0.0003688337,0.00003712739,0.00004977133,0.9750026],"genre_scores_gemma":[0.01164947,0.0009335505,0.0001773382,0.002435321,0.0005846817,0.00001458259,0.0003844031,0.00004414413,0.9837765],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.666257,"threshold_uncertainty_score":0.8996081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07494507735589977,"score_gpt":0.2604382792134596,"score_spread":0.1854932018575599,"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."}}