{"id":"W2233487915","doi":"","title":"DNA barcoding in ethnobotany and ethnopharmacology : identifying medicinal plants traded in local markets","year":2015,"lang":"en","type":"article","venue":"Genome","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnobotany; DNA barcoding; Biology; Medicinal plants; Evolutionary biology; Traditional medicine; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008983554,0.0001412906,0.0002998639,0.00003386306,0.0000668661,0.00001218843,0.0001579965,0.0001168525,0.00008346498],"category_scores_gemma":[0.0001034536,0.00005990624,0.00002286108,0.0002426689,0.0001662121,0.00008143008,0.0001188394,0.0003223822,0.00001492064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006145588,"about_ca_system_score_gemma":0.00001153662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004443717,"about_ca_topic_score_gemma":0.00396886,"domain_scores_codex":[0.9986205,0.000127552,0.0002917988,0.0003086461,0.0002280978,0.0004234216],"domain_scores_gemma":[0.9993702,0.000329121,0.00004741122,0.00002826799,0.00001687084,0.0002081148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004870794,0.0001538021,0.03274664,0.0000400817,0.00002472232,0.0008723729,0.004511932,0.000009998484,0.8541619,0.00005850218,0.0002192507,0.1067137],"study_design_scores_gemma":[0.001261694,0.0002435657,0.9804084,0.0001065373,0.000008972149,0.00005602726,0.0123137,0.0001055166,0.000604293,0.001313525,0.003339445,0.0002383176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925158,0.003273258,0.000004586018,0.002753383,0.000190645,0.0001518882,0.00001011737,0.00002367322,0.001076625],"genre_scores_gemma":[0.9986231,0.0005390467,0.00002285144,0.0005445983,0.0001577928,0.00001232016,0.000008053657,9.804028e-7,0.00009129281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9476618,"threshold_uncertainty_score":0.2442906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08671881422185683,"score_gpt":0.2933605510755658,"score_spread":0.206641736853709,"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."}}