{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002544915,0.0003207475,0.0002351975,0.0005144819,0.0004279326,0.0002882564,0.0005102486,0.0002760947,0.001269527],"category_scores_gemma":[0.000206686,0.0001771092,0.0001826947,0.000443078,0.0001842413,0.0001710487,0.0003577252,0.0004483148,0.0004334016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121806,"about_ca_system_score_gemma":0.0005693679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04264072,"about_ca_topic_score_gemma":0.06961118,"domain_scores_codex":[0.9998436,0.00002380959,0.00001632959,0.00004561866,0.00004360401,0.00002696797],"domain_scores_gemma":[0.9998005,0.00003277448,0.00003515123,0.00003156711,0.00004020833,0.00005987476],"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":[0.00006773279,0.00002790021,0.0006485085,0.0000296738,0.000005061081,0.00007617051,0.00009202167,0.0002111167,0.9966556,0.0002036051,0.00004773666,0.001934755],"study_design_scores_gemma":[0.000190497,0.001155205,0.1232586,0.00006503837,0.0001336956,0.001317188,0.0008782835,0.01183529,0.7916645,0.0003067406,0.06909623,0.0000986631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718218,0.0005719699,0.01798407,0.0001871621,0.00003360666,0.0007654043,0.003717606,0.0002221086,0.004696251],"genre_scores_gemma":[0.9554036,0.0006979533,0.02184843,0.0001594349,0.000008844784,0.0004293438,0.009214547,0.0001322937,0.01210559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04264072,"threshold_uncertainty_score":0.08478504,"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."}}