{"id":"W4403424324","doi":"10.1021/acsomega.4c06904","title":"Purification Processes for Generating Cationic Lignin-Acrylamide Polymers","year":2024,"lang":"en","type":"article","venue":"ACS Omega","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Northern Ontario Heritage Fund Corporation; Ontario Research Foundation","keywords":"Cationic polymerization; Lignin; Acrylamide; Polymer; Polymer science; Chemistry; Chemical engineering; Organic chemistry; Pulp and paper industry; Polymer chemistry; Engineering; Copolymer","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":[0.0003391147,0.0003899609,0.0001496965,0.0002880116,0.000204374,0.0002055657,0.0002599253,0.0002040033,0.0009665563],"category_scores_gemma":[0.0002625262,0.0001318216,0.0002348381,0.0002873682,0.0001221727,0.0004430297,0.0002007263,0.0005374951,0.0003911874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011131,"about_ca_system_score_gemma":0.0002066397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003409219,"about_ca_topic_score_gemma":0.0005396388,"domain_scores_codex":[0.9998173,0.00001651661,0.00001681903,0.00004516846,0.00007689367,0.00002736013],"domain_scores_gemma":[0.9999112,0.00001414445,0.00003303834,0.00000850891,0.00002516192,0.000007923253],"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":[0.000006840441,0.00001379658,0.00005094117,0.00005703361,0.000001785018,0.00002534319,0.0000179932,0.00004398377,0.9956284,0.0001371274,0.00004184951,0.003974969],"study_design_scores_gemma":[0.000002688143,0.00003875664,0.0002742833,0.000002535958,0.000003777241,0.00005534652,0.000006455055,0.0002712978,0.9976514,0.00002826026,0.001662831,0.000002346756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8095829,0.003791792,0.1796796,0.0002575937,0.00007342022,0.0004487752,0.0004589639,0.0007710604,0.004935787],"genre_scores_gemma":[0.895385,0.00325167,0.09616426,0.0001225752,0.00003204865,0.0002460493,0.0006914301,0.0001157243,0.003991202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009665563,"threshold_uncertainty_score":0.003233433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025032995390914,"score_gpt":0.2287084474015161,"score_spread":0.218458117447607,"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."}}