{"id":"W2162168298","doi":"10.5376/lgg.2013.04.0003","title":"Assessment of Variability and Identification of Transgressive Segregants for Yield and Yield Component Traits in Early Segregating Generations of Chickpea","year":2013,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transgressive; Yield (engineering); Identification (biology); Component (thermodynamics); Transgressive segregation; Agronomy; Biology; Quantitative trait locus; Genetics; Gene; Botany; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005532163,0.0003349271,0.0002454144,0.0006892791,0.0001889379,0.0002739533,0.0002279024,0.0002521867,0.0004560761],"category_scores_gemma":[0.0005559426,0.0001609308,0.0003036107,0.0002779628,0.0001597999,0.00009086892,0.0001915957,0.0004557486,0.0001294203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519805,"about_ca_system_score_gemma":0.0001296041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443621,"about_ca_topic_score_gemma":0.002651257,"domain_scores_codex":[0.9997132,0.00005587655,0.00002071277,0.0001018006,0.0000730404,0.00003531009],"domain_scores_gemma":[0.9993817,0.0002518135,0.000129406,0.00008393825,0.00007637864,0.00007685964],"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":[0.0002240966,0.00009253158,0.03585218,0.00002854699,0.00009196818,0.0002978065,0.0003767679,0.0003814717,0.9576961,0.0001010337,0.00001755625,0.004839762],"study_design_scores_gemma":[0.00001023257,0.0006015601,0.9558056,0.000007166039,0.00008548261,0.001025565,0.0001319831,0.001541623,0.04002361,0.00006176996,0.0006788546,0.00002665049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987898,0.0000507707,0.0009653631,0.000002292398,9.681219e-7,0.000005687868,0.00007740317,0.000007365677,0.0001003588],"genre_scores_gemma":[0.9952804,0.00009459518,0.002831632,0.000008594777,0.000002385366,0.00001739609,0.0008796701,0.00002039122,0.0008649466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443621,"threshold_uncertainty_score":0.002925754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127926891042703,"score_gpt":0.2216017913114427,"score_spread":0.2003225224010156,"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."}}