{"id":"W4380792755","doi":"10.1016/j.ijbiomac.2023.125346","title":"New approach to recycle and valorize the first filtrate of the LignoForce system™: Lignin extraction and its use in rigid lignin-based polyurethane foams","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations; University of British Columbia","funders":"Mitacs; FPInnovations","keywords":"Lignin; Softwood; Molar mass distribution; Chemistry; Polyurethane; Polyol; Extraction (chemistry); Fractionation; Kraft paper; Chemical engineering; Size-exclusion chromatography; Filtration (mathematics); Chromatography; Materials science; Pulp and paper industry; Polymer; Composite material; Organic chemistry","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":[0.0002721876,0.0004911171,0.0003307488,0.0004885112,0.0003305237,0.0004076916,0.0004368517,0.0005034798,0.001474023],"category_scores_gemma":[0.0002354048,0.0001793894,0.000510122,0.000331236,0.0003742274,0.0007742827,0.0005150528,0.001375822,0.0006182669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035321,"about_ca_system_score_gemma":0.0004275567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004911328,"about_ca_topic_score_gemma":0.0009619595,"domain_scores_codex":[0.9998063,0.00001903696,0.00001374253,0.00004859032,0.00006652882,0.00004583063],"domain_scores_gemma":[0.9999051,0.00001400447,0.0000227586,0.00002131811,0.00002019084,0.00001667632],"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":[0.00006222941,0.00009689632,0.0001854959,0.0001547888,0.00002076523,0.0001072841,0.00008915328,0.0001719176,0.9839671,0.0007849523,0.000116897,0.01424246],"study_design_scores_gemma":[0.000009516985,0.0001878895,0.0004188392,0.000008411142,0.00001861266,0.0002321517,0.00002963191,0.0006702542,0.9928558,0.0001959584,0.005356254,0.0000167184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7995234,0.00590817,0.1861212,0.0008470475,0.0002926161,0.0002339,0.0003713366,0.000501246,0.006201146],"genre_scores_gemma":[0.9138652,0.003670868,0.07224035,0.0002435958,0.00006434236,0.0001333642,0.0004636323,0.0001091474,0.009209491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001474023,"threshold_uncertainty_score":0.004931092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518572417981332,"score_gpt":0.2423027199184374,"score_spread":0.2171169957386241,"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."}}