{"id":"W7094140001","doi":"","title":"Identification and qualitative characterization of high and low lignin lines from an oat TILLING population","year":2014,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lignin; TILLING; Population; Digestion (alchemy); Ruminant; Qualitative analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0001237003,0.00008814912,0.0001432528,0.00008822357,0.00009935445,0.00002077017,0.00007743327,0.00008670244,0.000004102379],"category_scores_gemma":[0.00003379459,0.00009845773,0.00002960557,0.0001068212,0.00004482226,0.00007733604,0.00006837507,0.00002990017,0.000001019216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009240341,"about_ca_system_score_gemma":0.00001178821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002731147,"about_ca_topic_score_gemma":0.0002014446,"domain_scores_codex":[0.9992636,0.0001784273,0.0001185575,0.0002783544,0.00009081511,0.00007024065],"domain_scores_gemma":[0.9995371,0.00002572527,0.0001649474,0.0001655346,0.00006040356,0.00004632115],"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":[0.0001156956,0.00003092581,0.00283977,0.00001296398,0.00003530518,7.030523e-7,0.0003743766,0.00003345721,0.9955656,0.0006575614,0.00008582306,0.0002478053],"study_design_scores_gemma":[0.001700562,0.0002107619,0.2830869,0.0000853321,0.0002030354,0.000003106809,0.003965044,0.01984639,0.6891556,0.0005712538,0.0006933118,0.0004787399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988502,0.0000150939,0.01042852,0.00009723453,0.00004269876,0.0000842962,0.0008060297,0.00000697416,0.000017199],"genre_scores_gemma":[0.9957716,0.0001103289,0.0002499823,0.00003178881,0.00004673803,4.224399e-7,0.002573431,0.00000689977,0.001208817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.30641,"threshold_uncertainty_score":0.401499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005650103455477827,"score_gpt":0.2218983228069461,"score_spread":0.2162482193514683,"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."}}