{"id":"W1996398517","doi":"10.1515/hf.2006.040","title":"Effect of poly(ethylene oxide) molecular mass on miscibility and hydrogen bonding with lignin","year":2006,"lang":"en","type":"article","venue":"Holzforschung","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs","keywords":"Miscibility; Ethylene oxide; Intermolecular force; Lignin; Materials science; Crystallinity; Differential scanning calorimetry; Organosolv; Polymer blend; Hydrogen bond; Ethylene glycol; Molecular mass; Polymer chemistry; PEG ratio; Chemical engineering; Intramolecular force; Molar mass; Oxide; Polymer; Chemistry; Organic chemistry; Molecule; Copolymer; Composite material; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003558343,0.0005083537,0.00023368,0.0003705438,0.0001026243,0.000377297,0.0001915796,0.0001952868,0.001150503],"category_scores_gemma":[0.0009441066,0.0002622973,0.0001973206,0.0002686603,0.000169192,0.000435664,0.0002158772,0.0003105051,0.0001840199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560331,"about_ca_system_score_gemma":0.0001051261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000262996,"about_ca_topic_score_gemma":0.0003685424,"domain_scores_codex":[0.9997221,0.00006921926,0.00002686294,0.00005461758,0.00007979506,0.00004745159],"domain_scores_gemma":[0.9992771,0.0003250378,0.0002018233,0.00004862151,0.00005123103,0.00009633773],"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":[0.0002715577,0.00006446578,0.0005615639,0.00002835052,0.00001428042,0.00003201946,0.00001779514,0.0002156453,0.9974704,0.00002390187,0.000007182148,0.001292882],"study_design_scores_gemma":[0.000006982842,0.0003624547,0.002412467,0.000003756475,0.00001925259,0.00002944452,0.000007109004,0.0006385904,0.9962777,0.000009188504,0.000229832,0.000003175141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986303,0.0004669934,0.0004663498,0.00001403425,0.000005954015,0.000007821458,0.00004245529,0.00002340331,0.0003427078],"genre_scores_gemma":[0.9986295,0.0002690066,0.0006039127,0.00001086129,0.000005322516,0.000007532742,0.00004984585,0.00001459059,0.0004094167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150503,"threshold_uncertainty_score":0.003848791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001922653393291211,"score_gpt":0.182469710005637,"score_spread":0.1805470566123458,"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."}}