{"id":"W2319061792","doi":"10.1055/s-0033-1336558","title":"HPLTC - A Suitable Tool for Proper Identification of Botanicals? Identification of Licorice Revisited …","year":2013,"lang":"en","type":"article","venue":"Planta Medica","topic":"Pharmacological Effects of Natural Compounds","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacopoeia; Identification (biology); Traditional medicine; Herbal supplement; Biotechnology; Medicine; Computer science; Biology; Alternative medicine","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":[0.002302051,0.00020199,0.0004715908,0.0001240908,0.000134204,0.00002445792,0.0006012831,0.0004006863,0.001195042],"category_scores_gemma":[0.001794513,0.0001620871,0.0001377637,0.0003578007,0.0002401378,0.000324368,0.00009876973,0.0005437635,0.0001508532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006310126,"about_ca_system_score_gemma":0.00007372187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002314709,"about_ca_topic_score_gemma":0.000001100381,"domain_scores_codex":[0.9972649,0.0004567867,0.001157647,0.0003793711,0.0003525912,0.0003886716],"domain_scores_gemma":[0.9962547,0.002039244,0.0007631436,0.0003035815,0.0004611115,0.0001782309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004012608,0.0004426403,0.001064321,0.0004733969,0.0001719543,0.000002245865,0.0001150136,0.00001586591,0.9475989,0.0006963296,0.03998036,0.009037697],"study_design_scores_gemma":[0.003056019,0.0004674375,0.02385855,0.0000904008,0.0006162962,0.00002715195,0.00006875432,0.01739028,0.907908,0.001550814,0.04456107,0.0004052211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991807,0.001020445,0.0009551041,0.001523002,0.001008515,0.002635123,0.0003050866,0.00009988998,0.0006458682],"genre_scores_gemma":[0.9968436,0.0003012152,0.0002654413,0.0006601851,0.000195715,0.0004199997,0.0001915086,0.00001902577,0.001103356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03969091,"threshold_uncertainty_score":0.999718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0764777538935033,"score_gpt":0.4157697508277917,"score_spread":0.3392919969342884,"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."}}