{"id":"W2111879390","doi":"10.2993/0278-0771-31.2.262","title":"The Fine Scale Ethnotaxa Classification of Millets in Southern India","year":2011,"lang":"en","type":"article","venue":"Journal of Ethnobiology","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre; Ontario Genomics Institute; Genome Canada","keywords":"Ethnobotany; Taxon; Context (archaeology); DNA barcoding; Biodiversity; Biology; Plant ecology; Geography; Variation (astronomy); Ecology; Medicinal plants; Archaeology","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":[0.0009381805,0.00007708621,0.0002459604,0.00001600215,0.00007527763,0.000002507217,0.0002799207,0.0001228865,0.00008963334],"category_scores_gemma":[0.0003132369,0.00002084061,0.00008365147,0.0001698195,0.0002717327,0.00002936707,0.00004200266,0.0002857486,0.000008881974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001142014,"about_ca_system_score_gemma":0.0000113158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001813541,"about_ca_topic_score_gemma":0.004479278,"domain_scores_codex":[0.9989821,0.0001390733,0.0004875133,0.00008720341,0.0001088402,0.0001952714],"domain_scores_gemma":[0.9987187,0.0006337879,0.0004264124,0.00003927419,0.0001308421,0.00005101033],"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":[0.0006146558,0.0002979993,0.2396231,0.00001080785,0.0000683608,0.00002244863,0.006409951,5.431348e-7,0.5888835,0.0004127421,0.001094119,0.1625618],"study_design_scores_gemma":[0.0002871595,0.0009543254,0.9782646,0.00005867372,0.00001467691,0.00003594398,0.01033055,0.000002696497,0.002385214,0.002438854,0.005147186,0.00008010305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954962,0.001104506,0.000001439787,0.001982525,0.000207282,0.00005699977,0.000009441294,0.000003180516,0.00113841],"genre_scores_gemma":[0.9992854,0.0003212268,0.00004875885,0.00009109391,0.0001263709,0.000001674435,0.000001730375,4.885674e-7,0.0001232343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7386415,"threshold_uncertainty_score":0.2499542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06270891765081632,"score_gpt":0.2541655758224701,"score_spread":0.1914566581716538,"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."}}