{"id":"W3042647963","doi":"10.1139/cjb-2020-0029","title":"Characterizing genetically diverse blue grama [<i>Bouteloua gracilis</i> (Willd. ex Kunth) Lag. ex Griffiths] seed sources","year":2020,"lang":"en","type":"article","venue":"Botany","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Ecotype; Biology; Bouteloua gracilis; Cultivar; Botany; Population; Agronomy; Grassland","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000148502,0.0002286146,0.0001985159,0.00002345703,0.0001696399,0.000131846,0.0003609502,0.00007538991,0.002467439],"category_scores_gemma":[0.00005251543,0.0002188877,0.0001044286,0.0002671355,0.0001642888,0.0002579757,0.0004189138,0.0001528322,0.003060842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007066151,"about_ca_system_score_gemma":0.000007339342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001757206,"about_ca_topic_score_gemma":0.00008307389,"domain_scores_codex":[0.9982365,0.00006416903,0.0002808611,0.0005076469,0.0004887962,0.0004219899],"domain_scores_gemma":[0.9992511,0.00002703014,0.000109066,0.0002653631,0.00001130046,0.000336132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003536715,0.0007778361,0.05474919,0.0001472997,0.0002621877,0.0006622377,0.02284013,0.003736391,0.6646091,0.003174574,0.0820784,0.1666089],"study_design_scores_gemma":[0.0006808144,0.0001055182,0.3380368,0.00001449636,0.0000505585,0.000006230004,0.001421516,0.003093515,0.001276865,0.00009560024,0.6547696,0.0004484887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765222,0.0001389715,0.003883823,0.0104974,0.0003557219,0.0004549423,0.00003328939,0.0002529241,0.007860688],"genre_scores_gemma":[0.984395,0.0001181768,0.002235218,0.009329674,0.0001617315,0.00001634713,0.000007637518,0.00003042087,0.003705854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6633323,"threshold_uncertainty_score":0.9984444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587642315225171,"score_gpt":0.2048361957204063,"score_spread":0.1889597725681545,"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."}}