{"id":"W4404868178","doi":"10.5376/tgg.2024.15.0026","title":"Breeding <i>Triticale</i> for Stress-Prone Environments: Genetic Insights and Methodologies","year":2024,"lang":"en","type":"article","venue":"Triticeae Genomics and Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triticale; Biology; Genetics","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":[0.001445948,0.0006720857,0.000577981,0.001012015,0.0005451493,0.001281578,0.0007850152,0.0005740378,0.002004663],"category_scores_gemma":[0.0004924475,0.0004721629,0.0006012156,0.001256787,0.0007059366,0.0008401257,0.0009630568,0.003287222,0.001521046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006883728,"about_ca_system_score_gemma":0.0008542927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110891,"about_ca_topic_score_gemma":0.001417745,"domain_scores_codex":[0.9995239,0.00008449002,0.00004439609,0.0001173117,0.000174805,0.00005507805],"domain_scores_gemma":[0.9996044,0.00005433292,0.0001098433,0.00007925685,0.00007371196,0.00007843119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006291766,0.00008296043,0.000651604,0.0004665423,0.00003488269,0.0002218278,0.0002531957,0.001193544,0.858298,0.007795604,0.002169188,0.1287697],"study_design_scores_gemma":[0.00009354782,0.0009085473,0.0119138,0.0003868279,0.0001867512,0.002648273,0.0005572154,0.008574593,0.5727034,0.01076173,0.3911027,0.0001627609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.135102,0.02085019,0.7995412,0.003542874,0.0006314412,0.0009678119,0.002562603,0.004663864,0.03213802],"genre_scores_gemma":[0.1871467,0.02605947,0.7614451,0.001064803,0.0001741689,0.0008344461,0.00482105,0.001207515,0.01724668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002004663,"threshold_uncertainty_score":0.007646978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04231040692108839,"score_gpt":0.2583425108964056,"score_spread":0.2160321039753172,"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."}}