{"id":"W3045917410","doi":"10.1002/csc2.20282","title":"Genetic stability and genotype × environment interaction analysis for seed protein content and protein yield of lentil","year":2020,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Pulse Growers","keywords":"Biology; Ammi; Agronomy; Gene–environment interaction; Yield (engineering); Genotype; High protein; Biotechnology; Food science; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009717891,0.0005539561,0.0004097504,0.001081295,0.0003518286,0.0005902433,0.0004930569,0.0002339,0.00106245],"category_scores_gemma":[0.000881442,0.0001830389,0.0008983039,0.0008827914,0.000448805,0.0002322537,0.0003539865,0.0004877337,0.0001377316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460511,"about_ca_system_score_gemma":0.001095523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05888436,"about_ca_topic_score_gemma":0.0998211,"domain_scores_codex":[0.9993101,0.0001859084,0.0000551924,0.0002297395,0.0001415747,0.0000775105],"domain_scores_gemma":[0.9984636,0.0006811417,0.0002894227,0.0001146098,0.0001994811,0.0002516445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002113244,0.0003475947,0.5738813,0.00007070447,0.0014202,0.0005677101,0.0004922131,0.002423361,0.4086795,0.0003775945,0.0002600902,0.009366406],"study_design_scores_gemma":[0.000008192931,0.0001974809,0.9853367,0.00000348853,0.0001797556,0.00008412604,0.000129453,0.005788734,0.007825352,0.00005701989,0.0003682114,0.00002139415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984167,0.00006811622,0.0008588689,0.00001219181,0.000002602309,0.00000687832,0.0004545635,0.00002404007,0.0001560798],"genre_scores_gemma":[0.9977823,0.00002254948,0.0009871394,0.00001689252,0.000001373884,0.00001125025,0.0005601931,0.00002643932,0.0005918898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05888436,"threshold_uncertainty_score":0.1170832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07357265878146257,"score_gpt":0.2116447161577516,"score_spread":0.138072057376289,"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."}}