{"id":"W6977330255","doi":"10.6084/m9.figshare.22601693","title":"Additional file 1 of Evaluation of engineered low-lignin poplar for conversion into advanced bioproducts","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Biochemical and biochemical processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bioproducts; Metabolic engineering; Lignin; Hydrolysate; Raw material; Bioenergy","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":[0.00004136849,0.00008433784,0.00009878693,0.00003047143,0.00001927742,0.000002260049,0.00009795456,0.0001286782,0.4652556],"category_scores_gemma":[0.005278618,0.00007858993,0.00007040825,0.0001720687,0.00001494283,0.000003605133,0.00006961716,0.00002969775,0.000093748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007217518,"about_ca_system_score_gemma":0.00009808382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.638404e-7,"about_ca_topic_score_gemma":3.071946e-7,"domain_scores_codex":[0.9993364,0.000009376365,0.0001465844,0.0002163923,0.0001827999,0.0001085003],"domain_scores_gemma":[0.9990465,0.0001142687,0.00009380807,0.0001333803,0.0005761756,0.00003585006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000186105,0.00001525256,8.83205e-8,0.0002572299,0.000008782831,5.047317e-8,0.000002238581,0.000007823858,0.4260703,1.639122e-7,0.5730125,0.0006069453],"study_design_scores_gemma":[0.0002351138,0.00007257211,0.00002248593,0.0003907724,0.000006480604,4.63278e-7,0.00001243661,0.0002549037,0.7874343,0.00004846751,0.2114443,0.00007775659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01769758,0.0001569379,5.152392e-7,0.00003005,0.00001596834,0.0002097414,0.9817741,0.0000127726,0.0001023691],"genre_scores_gemma":[0.1563052,0.000002732517,0.0003936971,0.00002366298,0.00008698136,0.0004065791,0.8425947,0.000008785394,0.000177653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4651618,"threshold_uncertainty_score":0.631938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841301063804191,"score_gpt":0.2570287484710634,"score_spread":0.2386157378330215,"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."}}