{"id":"W4321437163","doi":"10.1021/acs.biomac.2c01437","title":"Generation of Sulfonated Lignin-Starch Polymer and Its Use As a Flocculant","year":2023,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Consejo Nacional de Ciencia y Tecnología; Canada Research Chairs; Canada Foundation for Innovation; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Copolymer; Polymerization; Chemistry; Polymer chemistry; Monomer; Polymer; Chemical engineering; Starch; Lignin; Flocculation; Radius of gyration; Polyelectrolyte; 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":[0.0001372959,0.0002920114,0.0001374465,0.0001874084,0.00008835228,0.0001535912,0.000145781,0.0002282338,0.0002757835],"category_scores_gemma":[0.000129143,0.00009020646,0.000170771,0.00014679,0.0001199867,0.0002188313,0.0001736302,0.0002848417,0.0001239564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461409,"about_ca_system_score_gemma":0.0001804682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002593137,"about_ca_topic_score_gemma":0.0006310558,"domain_scores_codex":[0.9999274,0.000009602179,0.000007091705,0.0000184678,0.00002518423,0.00001234015],"domain_scores_gemma":[0.9999335,0.000006692494,0.00002543948,0.000005659473,0.00001041377,0.00001844322],"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":[0.000005888158,0.00000850359,0.00004516905,0.00003389568,0.000003070289,0.00002167285,0.000008211834,0.00005237464,0.998085,0.0001055295,0.00001137411,0.001619375],"study_design_scores_gemma":[0.000004305719,0.0001558364,0.0004933346,0.00000277011,0.000008483749,0.00004938234,0.000005199735,0.0006225298,0.9973778,0.0000214509,0.001255672,0.000003329392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778144,0.001680108,0.01868825,0.00007438959,0.00004641891,0.00007055153,0.00009613427,0.000109974,0.001419817],"genre_scores_gemma":[0.9860577,0.0008083064,0.01207481,0.00002743565,0.00001289175,0.00002700427,0.00009728998,0.00001489386,0.0008795732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0002920114,"threshold_uncertainty_score":0.001060307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04111402908275954,"score_gpt":0.2503791391495993,"score_spread":0.2092651100668397,"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."}}