{"id":"W2089915176","doi":"10.1385/abab:91-93:1-9:23","title":"Genetic Improvement of Poplar Feedstock Quality for Ethanol Production","year":2001,"lang":"en","type":"review","venue":"Applied Biochemistry and Biotechnology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Telus (Canada)","funders":"","keywords":"Raw material; Cellulose; Lignin; Biotechnology; Trait; Pulp and paper industry; Production (economics); Ethanol fuel; Transformation (genetics); Biochemical engineering; Environmental science; Biofuel; Biology; Botany; Gene; Computer science; Engineering; Ecology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003420098,0.0008951221,0.0009969752,0.0008339992,0.0001659329,0.0007288227,0.0006378839,0.00063364,0.0008502298],"category_scores_gemma":[0.0002481132,0.0001901326,0.0003316613,0.001612548,0.0002802045,0.0006135883,0.0002766557,0.000821865,0.0008260438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004251899,"about_ca_system_score_gemma":0.0004093268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009138385,"about_ca_topic_score_gemma":0.001281226,"domain_scores_codex":[0.9998758,0.00001254263,0.00001480202,0.00003016555,0.00005443009,0.00001228885],"domain_scores_gemma":[0.9998944,0.0000355404,0.00002459636,0.000007520864,0.00003049714,0.000007520893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001555653,0.00014726,0.0002402632,0.005929603,0.00009624163,0.0005121795,0.00004701504,0.001122791,0.1658052,0.001914142,0.003480597,0.8205492],"study_design_scores_gemma":[0.00006683986,0.0005202131,0.002434199,0.0009870597,0.0004063741,0.002932752,0.00007728864,0.0008184952,0.2200074,0.002080255,0.7696084,0.00006082044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008647659,0.9823523,0.004704466,0.0003320204,0.0002943359,0.00002053122,0.00008403247,0.00008196352,0.003482719],"genre_scores_gemma":[0.01767825,0.9745111,0.003560631,0.0002198743,0.00008963072,0.00001570444,0.0001750375,0.00001024698,0.003739537],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0009969752,"threshold_uncertainty_score":0.003084958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151336120151913,"score_gpt":0.2640866855822386,"score_spread":0.2425733243807195,"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."}}