{"id":"W4389746608","doi":"10.1007/978-981-19-4169-6_56","title":"Genome Designing for Nutritional Quality in Amaranthus","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Amaranth; Biofortification; Biotechnology; Biology; Germplasm; Crop; Agronomy; Food science; Medicine; Micronutrient","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002370967,0.0001456179,0.0002015693,0.000009929019,0.00005933548,0.00002429196,0.0001413918,0.0002936939,0.001053689],"category_scores_gemma":[0.00002204185,0.00005623947,0.0001284653,0.00002730357,0.00002488572,0.00001629931,0.00002494835,0.000122251,0.00007886555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001913842,"about_ca_system_score_gemma":0.000007819192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006354365,"about_ca_topic_score_gemma":0.0003277141,"domain_scores_codex":[0.9991874,0.000007157639,0.0002217822,0.0002835807,0.0001299979,0.0001700427],"domain_scores_gemma":[0.9992705,0.0005598395,0.00006431107,0.00002747679,0.00003257192,0.00004528254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001972803,0.00005578224,0.0003062845,0.0001875959,0.00005584083,0.00003099298,0.00002336641,0.00000178874,0.9249406,0.05792434,0.003579859,0.01269629],"study_design_scores_gemma":[0.001203283,0.0003969277,0.07558472,0.0007469635,0.0000563307,0.00003204912,0.0002561568,0.00002340969,0.01168403,0.2286003,0.6787045,0.002711281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03999525,0.0005918761,0.00001714233,0.001391654,0.0002738372,0.000879456,0.004583265,0.0002936384,0.9519739],"genre_scores_gemma":[0.03251817,0.0002652774,0.0002478044,0.0002889905,0.001141036,0.00004171009,0.006175763,0.00000288032,0.9593183],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9132565,"threshold_uncertainty_score":0.9998595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09086762071959739,"score_gpt":0.2552567910941523,"score_spread":0.1643891703745549,"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."}}