{"id":"W4387570961","doi":"10.1002/csc2.21125","title":"Genotype–environment interaction and yield stability analysis of Colombian yellow diploid potato cultivars using mixed linear models and environmental covariates","year":2023,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Covariate; Gene–environment interaction; Biology; Mixed model; Confounding; Variance (accounting); Interaction; Cultivar; Statistics; Genotype; Agronomy; Mathematics; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373946,0.00007404394,0.0001265966,0.00003814247,0.0002382325,0.00004803813,0.0001052455,0.00003248425,0.00007108278],"category_scores_gemma":[0.00002109699,0.00003604077,0.00003041246,0.0005027271,0.000333447,0.0001298701,0.0001515031,0.00004491157,0.000001733709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002412083,"about_ca_system_score_gemma":0.000004545224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003313762,"about_ca_topic_score_gemma":0.0001189317,"domain_scores_codex":[0.9991847,0.00002033272,0.0001388105,0.000296411,0.0001921268,0.0001676491],"domain_scores_gemma":[0.9996943,0.0001030201,0.00006662809,0.00004448219,0.000009703605,0.00008179122],"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":[0.000007447143,0.00001885531,0.02542214,0.000002253026,0.00001380351,5.906867e-7,0.0002871749,0.003773161,0.9685109,0.00001530214,9.975805e-7,0.001947397],"study_design_scores_gemma":[0.00004042247,0.0000941754,0.5277416,0.000008163554,0.00007924596,0.00000226144,0.001717125,0.4201302,0.04988587,0.000129121,0.00004882893,0.0001230088],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996287,0.00003776221,0.00005950014,0.00004534775,0.00004084627,0.00007962313,0.00007295368,0.000009400368,0.0000258504],"genre_scores_gemma":[0.9994834,0.0001361317,0.0003227747,0.00001161117,0.00001056281,0.000001240758,0.00002176608,4.813155e-7,0.00001200447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.918625,"threshold_uncertainty_score":0.1832316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07225265183352117,"score_gpt":0.2422074517565794,"score_spread":0.1699547999230583,"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."}}