{"id":"W1965692087","doi":"10.2135/cropsci2008.01.0060","title":"Diversity and Mega‐Targets of Selection from the Characterization of a Barley Collection","year":2009,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germplasm; Biology; Breeding program; Selection (genetic algorithm); Genetic diversity; Agriculture; Identification (biology); Hordeum vulgare; Biotechnology; Diversity (politics); Plant breeding; Agronomy; Cultivar; Poaceae; Ecology; Demography; Population; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001711674,0.0003089834,0.000556201,0.002015211,0.0007052036,0.001130113,0.0004929996,0.0002712102,0.0007985373],"category_scores_gemma":[0.003949533,0.0002817172,0.0005472943,0.002194543,0.0003642546,0.0004550189,0.001039258,0.0005045602,0.00033085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000532646,"about_ca_system_score_gemma":0.0003632902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260039,"about_ca_topic_score_gemma":0.005375785,"domain_scores_codex":[0.9977138,0.0006990571,0.0002211252,0.0007231653,0.0005163486,0.0001265204],"domain_scores_gemma":[0.9947924,0.001137754,0.00180021,0.001373018,0.0006347938,0.0002617746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006155029,0.0001795639,0.7622071,0.0001919405,0.00067023,0.0002229543,0.00284715,0.002858366,0.1426427,0.0006402833,0.0003895841,0.08653451],"study_design_scores_gemma":[0.00001113983,0.0001616735,0.9877122,0.00001375008,0.00008768504,0.0001742055,0.0003133917,0.002089061,0.007563639,0.0002100131,0.001646038,0.00001710859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878805,0.0001162617,0.009819253,0.00001529375,0.00000368264,0.00004363005,0.001017595,0.0000467467,0.001057094],"genre_scores_gemma":[0.9801502,0.00006896046,0.01610169,0.00001336938,0.000007515382,0.0001370606,0.003171324,0.00004078212,0.000309026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002260039,"threshold_uncertainty_score":0.009052336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117758862174665,"score_gpt":0.1848844654361211,"score_spread":0.1637068768143744,"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."}}