{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003922878,0.0001037826,0.0001030782,0.0000702535,0.00002646515,0.00002820157,0.00006045025,0.0000727404,0.000006696926],"category_scores_gemma":[0.00001443289,0.0001019572,0.00002907631,0.0002253545,0.00002113491,0.00005660145,0.00003585809,0.00003632825,0.00004000673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009355997,"about_ca_system_score_gemma":0.00001214092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002644314,"about_ca_topic_score_gemma":0.000002895955,"domain_scores_codex":[0.9994561,0.000009268035,0.0001350401,0.0001279778,0.0001124811,0.0001591499],"domain_scores_gemma":[0.999769,0.00001885892,0.00001542158,0.0001092076,0.00003082452,0.00005671518],"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":[0.000002054335,0.000006617177,0.00008505138,0.0000579432,0.00003665939,0.00003586182,0.0001116962,0.00001432167,0.9958534,0.0001947984,0.003456098,0.0001455194],"study_design_scores_gemma":[0.0001767581,0.00002031888,0.0002626221,0.00001950266,0.000009685545,0.00001656153,0.00001804567,0.005332245,0.9936349,0.00001403224,0.0003771008,0.0001182259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983361,0.0008310597,0.00000662186,0.00003197907,0.00008566434,0.00005715456,0.00005009648,0.0002134479,0.0003878812],"genre_scores_gemma":[0.9993607,0.0001655026,0.00006045985,0.0000149451,0.00005061667,0.000007595753,0.0001005842,0.0000234808,0.0002161406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005317923,"threshold_uncertainty_score":0.4157694,"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."}}