{"id":"W3086734622","doi":"","title":"DEVELOPING CHENOPODIUM FICIFOLIUM AS A DIPLOID MODEL SYSTEM RELEVANT TO GENETIC CHARACTERIZATION AND IMPROVEMENT OF ALLOTETRAPLOID C. QUINOA","year":2020,"lang":"en","type":"article","venue":"University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chenopodium quinoa; Ploidy; Biology; Genetics; Genetic diversity; Botany; Evolutionary biology; Gene; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007546528,0.0002502027,0.0004057154,0.0001065826,0.0002718068,0.0000195644,0.0004135125,0.0002698649,0.00000765711],"category_scores_gemma":[0.00002141859,0.0003188617,0.0001416479,0.0002125186,0.0001085181,0.000072749,0.0004251539,0.0001257479,0.000006290141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288452,"about_ca_system_score_gemma":0.0004559824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005609402,"about_ca_topic_score_gemma":0.0002908646,"domain_scores_codex":[0.9985954,0.00005325661,0.0002659843,0.0005720616,0.000286837,0.0002264795],"domain_scores_gemma":[0.9986901,0.000009845826,0.0004087461,0.000329028,0.0001960639,0.0003662489],"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":[0.0006193023,0.00003438764,0.001179587,0.000282071,0.0001501045,0.00003533646,0.00507143,0.0003250188,0.99053,0.00007253753,0.0007235412,0.0009767456],"study_design_scores_gemma":[0.004394243,0.002136754,0.03625143,0.0007498879,0.0005301897,0.0001716778,0.01119817,0.002832952,0.8596787,0.00001284385,0.08078955,0.001253623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718093,0.0003373072,0.026237,0.0008954582,0.00007469807,0.000383495,0.000046226,0.00003168795,0.0001847839],"genre_scores_gemma":[0.9862979,0.0002798,0.006930782,0.0001409126,0.00009444601,1.045919e-7,0.0001691123,0.00002181741,0.006065128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308513,"threshold_uncertainty_score":0.9999263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573326657495231,"score_gpt":0.192416023931279,"score_spread":0.1766827573563267,"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."}}