{"id":"W1982454174","doi":"10.1007/s12155-014-9572-z","title":"Potential of Poplar Bark Phytochemicals as Value-Added Co-products from the Wood and Cellulosic Bioethanol Industry","year":2015,"lang":"en","type":"article","venue":"BioEnergy Research","topic":"Biochemical and biochemical processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Bark (sound); Pulp and paper industry; Biorefinery; Biofuel; Cellulosic ethanol; Chemistry; Raw material; Suberin; Botany; Lignin; Biotechnology; Cellulose; Biology; Organic chemistry; Engineering","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":[0.0001738224,0.0003472574,0.0001211372,0.0004702044,0.000286268,0.0008248027,0.0001332814,0.0002733837,0.002365923],"category_scores_gemma":[0.0001372897,0.0001080378,0.0002875288,0.0003513634,0.0002774463,0.0006049578,0.0002967329,0.0004227528,0.000549125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002789757,"about_ca_system_score_gemma":0.0003726524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006328093,"about_ca_topic_score_gemma":0.001376641,"domain_scores_codex":[0.999928,0.0000221044,0.000002335573,0.000009189913,0.00001409438,0.0000242824],"domain_scores_gemma":[0.9999019,0.00002050813,0.000009984737,0.000007801867,0.00002797033,0.00003170865],"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":[0.0007021545,0.0001182459,0.001817963,0.0002093395,0.00004279195,0.0005137608,0.00006112939,0.0007835733,0.9751129,0.002093582,0.0001819934,0.01836263],"study_design_scores_gemma":[0.0000155479,0.0003043636,0.003039693,0.00002364941,0.00006528087,0.0002053066,0.000151667,0.0007692389,0.9878821,0.0008160884,0.006718107,0.000008984415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767945,0.01043488,0.003669276,0.0004230024,0.00006523442,0.00001862166,0.0003557315,0.00003611035,0.008202755],"genre_scores_gemma":[0.9939649,0.002629079,0.00079879,0.00004115013,0.00001270386,0.00000410329,0.0001255269,0.000007408002,0.002416372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002365923,"threshold_uncertainty_score":0.007914782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06075218315764153,"score_gpt":0.3444051805676839,"score_spread":0.2836529974100424,"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."}}