{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004970004,0.00008949685,0.00006414582,0.00003371355,0.00005251582,0.0001039105,0.00008709314,0.00005586519,0.000001787657],"category_scores_gemma":[0.00003554119,0.00009142531,0.000024725,0.0001888172,0.000009147405,0.0001324859,0.000006967887,0.00005921942,0.00002193439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004248947,"about_ca_system_score_gemma":0.00005437038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002097643,"about_ca_topic_score_gemma":0.000002346253,"domain_scores_codex":[0.9995259,0.00000197627,0.000125934,0.0001388398,0.00005857018,0.0001487504],"domain_scores_gemma":[0.9997372,0.00005530957,0.0000102883,0.0001192424,0.00004465321,0.00003332782],"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":[6.534156e-7,0.000006204488,0.0000437378,0.001431214,0.0000540163,0.000001192598,0.0004327153,0.0005999017,0.9401218,0.0005312762,0.04606945,0.01070783],"study_design_scores_gemma":[0.00005859141,0.000006561578,0.000005905742,0.00005068052,0.00001512774,0.000003845152,0.00005968253,0.003480372,0.9754962,0.0002118032,0.02048734,0.0001238968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359623,0.03085766,0.00456222,0.001923068,0.001582084,0.000567831,0.00008652562,0.002787688,0.02167066],"genre_scores_gemma":[0.9965382,0.0001411291,0.001165475,0.00005236302,0.0005285345,0.0001432117,0.00007033052,0.00003627898,0.001324467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06057595,"threshold_uncertainty_score":0.3728216,"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."}}