{"id":"W1999461289","doi":"10.1186/1746-4269-6-2","title":"Ethnobotany genomics - discovery and innovation in a new era of exploratory research","year":2010,"lang":"en","type":"article","venue":"Journal of Ethnobiology and Ethnomedicine","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Shastri Indo-Canadian Institute","keywords":"Ethnobotany; Ethnobiology; Biodiversity; Traditional knowledge; Convention on Biological Diversity; Genomics; DNA barcoding; Data science; Biology; Geography; Ecology; Computer science; Genome; Medicinal plants; Indigenous","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002533169,0.00007485106,0.0001922757,0.0003746127,0.00004663433,0.000009184396,0.0001209803,0.0002444659,0.0000109486],"category_scores_gemma":[0.000852038,0.00006153985,0.0000204935,0.0003709275,0.0005594508,0.00001727126,0.00005543906,0.0007191477,7.136011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006348773,"about_ca_system_score_gemma":0.0002485187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001635389,"about_ca_topic_score_gemma":0.0001087585,"domain_scores_codex":[0.9989312,0.0001080902,0.0005859395,0.000153454,0.00009555767,0.0001257224],"domain_scores_gemma":[0.9990215,0.0000867043,0.0003066929,0.0001700691,0.0003595836,0.0000555029],"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":[0.0001432931,0.00004686703,0.007783249,0.00001783652,0.00002170839,0.000001398867,0.0008450873,0.000001270114,0.9837231,0.002486993,0.001155426,0.003773757],"study_design_scores_gemma":[0.006117824,0.002996665,0.2219587,0.0002354856,0.00005600003,0.0003387072,0.008868807,0.00003720151,0.6605988,0.006349732,0.09202461,0.0004174701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942268,0.001628677,0.0004831332,0.00312449,0.0003700826,0.00007727034,0.000003197352,0.000001211994,0.0000850955],"genre_scores_gemma":[0.9974926,0.001170112,0.0005438172,0.0001726488,0.0002947962,0.000001733862,0.00001464007,0.000007018145,0.0003026102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3231243,"threshold_uncertainty_score":0.3124379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06809143358761718,"score_gpt":0.3736388242935814,"score_spread":0.3055473907059642,"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."}}