{"id":"W2271264992","doi":"10.1071/cp14357","title":"Genetic improvement of triticale for irrigated systems in south-eastern Australia: a study of genotype and genotype × environment interactions","year":2015,"lang":"en","type":"article","venue":"Crop and Pasture Science","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Grains Research and Development Corporation","keywords":"Triticale; Biology; Heritability; Agronomy; Germplasm; Monogastric; Genetic gain; Plant breeding; Animal breeding; Gene–environment interaction; Yield (engineering); Genotype; Ruminant; Crop; Biotechnology; Genetic variation; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007034557,0.0002703902,0.0003294704,0.000318403,0.000376642,0.0003019926,0.0002999096,0.0001885129,0.0004496424],"category_scores_gemma":[0.0006310178,0.0001316186,0.0002390501,0.0003406298,0.000251465,0.0002987598,0.000366009,0.0003732358,0.00007143339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006599601,"about_ca_system_score_gemma":0.000599557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008578893,"about_ca_topic_score_gemma":0.02172442,"domain_scores_codex":[0.999706,0.0001047012,0.00002078008,0.0000689283,0.00006980669,0.00002974589],"domain_scores_gemma":[0.9995338,0.000145062,0.0001055994,0.00005420467,0.00007551872,0.00008591557],"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":[0.0003810155,0.0008124947,0.04997005,0.0001096695,0.0001285665,0.0004210161,0.001467846,0.0009414203,0.9095927,0.0002701073,0.00007989961,0.03582514],"study_design_scores_gemma":[0.00002960733,0.002059418,0.9752161,0.00001211133,0.00007584363,0.0002904934,0.0004147764,0.003252438,0.01741535,0.00009951476,0.001113046,0.00002132176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999569,0.00003318803,0.0002495234,0.000008818181,5.066553e-7,0.00001029259,0.000009776796,0.000002349443,0.0001165253],"genre_scores_gemma":[0.9956204,0.0001647095,0.003143973,0.00003466677,0.000001459616,0.00003238992,0.000140874,0.000006812484,0.0008546986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008578893,"threshold_uncertainty_score":0.0170579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04878425948111513,"score_gpt":0.267658660859246,"score_spread":0.2188744013781309,"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."}}