{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001714839,0.00009399411,0.0001378926,0.00001367704,0.0002665546,0.00009439777,0.00008620659,0.00004047715,0.00001801453],"category_scores_gemma":[0.000005026778,0.00004347063,0.00001585053,0.00007873376,0.0003778875,0.0001358901,0.00007529481,0.00003296416,0.000001409001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001138697,"about_ca_system_score_gemma":0.000005707017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007649903,"about_ca_topic_score_gemma":0.00002772935,"domain_scores_codex":[0.9992674,0.00001720638,0.0001256644,0.000291947,0.0001202191,0.0001775526],"domain_scores_gemma":[0.9997625,0.00005212232,0.00005782607,0.00003963439,0.00002437882,0.00006354099],"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":[0.00001468651,0.00002459589,0.1645816,0.00004776454,0.000003366894,8.813495e-8,0.0002482295,0.00002278743,0.8319207,0.0001817523,0.000007666442,0.002946739],"study_design_scores_gemma":[0.0001600156,0.000214428,0.9948635,0.00002841223,0.00000673367,0.000005475647,0.001679672,0.0004633194,0.001842439,0.0001165208,0.000521149,0.00009833966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985707,0.0007631432,0.00001862266,0.000206955,0.0001023397,0.0002185087,0.00003767983,0.000005332586,0.00007672624],"genre_scores_gemma":[0.9993625,0.0001577675,0.0001593547,0.00007727844,0.00008363988,0.000009349361,0.000009225469,7.836084e-7,0.0001401074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8302819,"threshold_uncertainty_score":0.205015,"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."}}