{"id":"W2956643486","doi":"10.1071/cp19079","title":"Genetic characterisation and agronomic and nutritional value of bitter vetch (Vicia ervilia), an under-utilised species suitable for low-input farming systems","year":2019,"lang":"en","type":"article","venue":"Crop and Pasture Science","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Biology; Legume; Agronomy; Context (archaeology); Crop; Agriculture; Cultivar; Monogastric; Ruminant; Vicia; Vicia sativa; Vicia faba; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001404474,0.000170456,0.000158297,0.0006691824,0.0001687369,0.0001674313,0.0001235314,0.0001610271,0.0005277273],"category_scores_gemma":[0.0001554004,0.00007054301,0.0001307469,0.0003129393,0.0002079017,0.0001122239,0.0001935381,0.0001530595,0.0001242309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501839,"about_ca_system_score_gemma":0.000120885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002491885,"about_ca_topic_score_gemma":0.006434849,"domain_scores_codex":[0.9998845,0.00001858109,0.00001139291,0.00004520257,0.00001733604,0.00002295354],"domain_scores_gemma":[0.999824,0.00003998611,0.00004193426,0.00002239712,0.00002200806,0.00004963989],"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":[0.0002247038,0.0000855558,0.0178877,0.00002357364,0.00001756579,0.0001223517,0.0001866833,0.00008388492,0.9782473,0.00005128012,0.000008745904,0.003060567],"study_design_scores_gemma":[0.0000239744,0.0009738149,0.9530383,0.000008233009,0.00004574646,0.0007744075,0.0003068527,0.0007042173,0.0431224,0.00004588799,0.0009442009,0.00001196963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997293,0.00003281509,0.00009083854,0.000001694601,4.486608e-7,0.000003296626,0.00006071197,0.000001034122,0.00007974885],"genre_scores_gemma":[0.9986499,0.00004607932,0.0003926037,0.000004739932,0.000001070924,0.000004880665,0.0004481963,0.000003934311,0.0004485219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002491885,"threshold_uncertainty_score":0.004954755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342488297008614,"score_gpt":0.1987976554807238,"score_spread":0.1853727725106376,"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."}}