{"id":"W4297237807","doi":"10.1111/pbi.13935","title":"Metabolic engineering of <i>p</i>‐hydroxybenzoate in poplar lignin","year":2022,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Great Lakes Bioenergy Research Center; Biological and Environmental Research; Office of Science; U.S. Department of Energy","keywords":"Lignin; Xylem; Metabolic engineering; Cell wall; Hydrolysis; Biology; Biochemistry; Phenylpropanoid; Biomass (ecology); Botany; Enzyme; Biosynthesis; Agronomy","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":[],"consensus_categories":[],"category_scores_codex":[0.0002178954,0.0001279663,0.0002446807,0.0003662585,0.00005056337,0.000007272667,0.0003273686,0.0001457634,0.00003158126],"category_scores_gemma":[0.00001336591,0.0001364353,0.00005590724,0.0003373959,0.00002215073,0.00004391806,0.00009305754,0.001073679,0.000003497642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005227343,"about_ca_system_score_gemma":0.00001950056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003756931,"about_ca_topic_score_gemma":0.000001322765,"domain_scores_codex":[0.9991362,0.00001239564,0.0003142116,0.0001006598,0.0001446086,0.0002919184],"domain_scores_gemma":[0.9997259,0.0000236749,0.00005507995,0.0001436494,0.000006610492,0.00004512055],"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":[0.000004550711,0.00003685421,0.0007673575,0.00003336185,0.00007745142,0.0002600174,0.0001077179,0.02286892,0.9718909,0.0006871988,0.002798682,0.0004669977],"study_design_scores_gemma":[0.0003718652,0.00002693615,0.00004958896,0.00001915302,0.00001158408,0.001760137,0.0001101986,0.005601249,0.9749593,0.0001244566,0.01681791,0.0001476848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934673,0.004995165,0.00008109859,0.0002217979,0.0004557204,0.00004839265,0.00006903425,0.000215739,0.0004457553],"genre_scores_gemma":[0.9985468,0.0007674356,0.0005716804,0.00001721853,0.00004388618,0.000008163286,0.000008072444,0.00002180326,0.00001493532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01726767,"threshold_uncertainty_score":0.5563668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003565214012176774,"score_gpt":0.1536520591392414,"score_spread":0.1500868451270646,"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."}}