{"id":"W4402321231","doi":"10.5376/tgg.2024.15.0007","title":"Molecular Tools and Genomic Resources in Triticeae: Enhancing Crop Productivity","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":"Triticeae; Crop productivity; Productivity; Crop; Agroforestry; Agronomy; Crop management; Biotechnology; Business; Biology; Economics; Genome; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003960336,0.0001835905,0.0002348693,0.00003954441,0.0001224704,0.0003165282,0.0001180669,0.0001350923,0.00001949942],"category_scores_gemma":[0.00002779955,0.00009870915,0.00004669302,0.0001909397,0.0001211614,0.00005056736,0.0001251196,0.0001769642,0.000006132247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002003195,"about_ca_system_score_gemma":0.00001773412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004928354,"about_ca_topic_score_gemma":0.0004331678,"domain_scores_codex":[0.9986989,0.00007985885,0.0002762077,0.0005063495,0.00008834129,0.0003503581],"domain_scores_gemma":[0.9995822,0.0001730408,0.00002562967,0.00007448733,0.00002996204,0.0001146626],"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":[0.00001687206,0.00003054311,0.0007794182,0.00005680509,0.0000102212,0.00005258452,0.0003441505,0.00001549235,0.9204049,0.0004208982,0.00000716482,0.07786099],"study_design_scores_gemma":[0.001566028,0.002189182,0.5346068,0.000322075,0.0003008008,0.0006258986,0.001881288,0.002764448,0.2215538,0.02348697,0.2084318,0.002270906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574463,0.04054933,0.0000129871,0.001152515,0.0001515185,0.0002518638,0.00008290171,0.00002910979,0.0003234782],"genre_scores_gemma":[0.9945284,0.004497715,0.0003764235,0.0001600407,0.0003197456,0.00001239493,0.00002027004,0.000004045811,0.00008100981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.698851,"threshold_uncertainty_score":0.4025242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723902363555941,"score_gpt":0.2261559696032228,"score_spread":0.2089169459676634,"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."}}