{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001670856,0.0004261656,0.0003684871,0.0002342347,0.0002768359,0.0006422939,0.0004453432,0.0003083475,0.00480983],"category_scores_gemma":[0.0002295726,0.000233496,0.0004324387,0.0004459913,0.0001865627,0.0004535786,0.0003214375,0.0007765098,0.001952609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522065,"about_ca_system_score_gemma":0.000277819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001447215,"about_ca_topic_score_gemma":0.001965639,"domain_scores_codex":[0.9999427,0.000006190221,0.000003486805,0.00002163445,0.00001900831,0.000007085229],"domain_scores_gemma":[0.9999487,0.00002107145,0.000005319128,0.000008494982,0.00001161793,0.000004791429],"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":[0.000124381,0.00002520927,0.0003131116,0.0005052004,0.0000179895,0.0002071305,0.0001655722,0.002476773,0.7879735,0.01917225,0.007743393,0.1812755],"study_design_scores_gemma":[0.00003582485,0.000128966,0.002931597,0.0001562241,0.0001309313,0.0006237383,0.0001751789,0.01045575,0.5124588,0.01887438,0.4539793,0.00004926698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1489147,0.02095039,0.684867,0.003159822,0.002099449,0.0003199364,0.008637435,0.01171674,0.1193346],"genre_scores_gemma":[0.2031018,0.01408012,0.674788,0.0009512088,0.0001955452,0.0002321879,0.0130384,0.003625329,0.08998735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00480983,"threshold_uncertainty_score":0.01609045,"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."}}