{"id":"W1976256346","doi":"10.1021/jf101258x","title":"Chemical Structure and Heterogeneity Differences of Two Lignins from Loblolly Pine As Investigated by Advanced Solid-State NMR Spectroscopy","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lignin; Heteronuclear molecule; Cellulose; Chemistry; Chemical shift; Spin diffusion; Nuclear magnetic resonance spectroscopy; Carbon-13 NMR; Chemical structure; Solid-state nuclear magnetic resonance; Extraction (chemistry); Chemical composition; Diffusion; Analytical Chemistry (journal); Organic chemistry; Nuclear magnetic resonance; Physical chemistry","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":[0.00009380867,0.0002149111,0.00010832,0.0004082997,0.0001530521,0.0002687484,0.0001002563,0.0001635565,0.0003515048],"category_scores_gemma":[0.0001190733,0.0001133146,0.0001071969,0.0002163443,0.0001641958,0.0001944624,0.00009610653,0.0002204073,0.00006990349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000114078,"about_ca_system_score_gemma":0.0001321882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010637,"about_ca_topic_score_gemma":0.001445384,"domain_scores_codex":[0.9999499,0.000004680357,0.000003274762,0.00001402194,0.00001368273,0.00001439858],"domain_scores_gemma":[0.9998927,0.00002304102,0.0000262937,0.000006247677,0.0000216056,0.00003006021],"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":[0.0000553314,0.00000754744,0.0007759086,0.00001800605,0.000003831106,0.00004237448,0.00002111536,0.00002531261,0.9983419,0.00001900853,0.000002523239,0.0006871528],"study_design_scores_gemma":[0.00002718178,0.0004566438,0.1590252,0.0000114358,0.0000583992,0.0005695427,0.0002539968,0.001146692,0.8368804,0.0001775002,0.001372955,0.00002015305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987046,0.0003324395,0.0006334003,0.000006018754,0.000002449484,0.00000335757,0.0001100979,0.000006263769,0.0002012784],"genre_scores_gemma":[0.9980898,0.0002193274,0.0008535904,0.00001589203,0.000004126048,0.000004933207,0.000418035,0.000005189344,0.000388909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010637,"threshold_uncertainty_score":0.002115011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005640073079752789,"score_gpt":0.2449283737351622,"score_spread":0.2392883006554094,"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."}}