{"id":"W1968716089","doi":"10.1007/s00226-008-0233-2","title":"PEG quantification and examination of molecular weight distribution in wood cell walls","year":2008,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"PEG ratio; Polyethylene glycol; Toluene; Extraction (chemistry); Chemistry; Solvent; Chromatography; Penetration (warfare); Desorption; Cell wall; Materials science; Organic chemistry; Biochemistry; Adsorption","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":[0.000123532,0.00005228474,0.00007281564,0.000202733,0.00005377244,0.000006459379,0.0000668819,0.00005980773,0.000001073357],"category_scores_gemma":[0.00002578108,0.00004618124,0.000003771289,0.0006958054,0.0003107165,0.0001265826,0.00002046236,0.00004712395,0.000001674209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002334348,"about_ca_system_score_gemma":0.00001511195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005931276,"about_ca_topic_score_gemma":0.000004712189,"domain_scores_codex":[0.9995869,0.000005628558,0.00009499974,0.000119201,0.00008704852,0.0001062404],"domain_scores_gemma":[0.9998186,0.000006964024,0.00001821427,0.00009119669,0.00005100335,0.00001408756],"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":[0.000001988951,0.00004571382,0.00499733,0.00003351282,0.00000340772,0.000007026255,0.0004346446,0.00002173076,0.9677279,0.00470138,0.00002030912,0.02200507],"study_design_scores_gemma":[0.0002022387,0.00007224255,0.02081966,0.00001080565,0.000004190205,0.0000120712,0.0001263254,0.002254015,0.9758849,0.000418752,0.0001275191,0.00006732759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997835,0.001146078,0.0002178783,0.0001626873,0.00002347837,0.00007534589,0.000002322026,0.00005670325,0.000480485],"genre_scores_gemma":[0.9994382,0.000367455,0.0001601565,0.000001832483,0.000001775751,0.000009250067,0.000004641552,0.000002763011,0.00001388911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02193775,"threshold_uncertainty_score":0.1883217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00871859451091041,"score_gpt":0.1855835015095148,"score_spread":0.1768649069986044,"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."}}