{"id":"W4289205868","doi":"10.3390/nano12152612","title":"Amphiphilic Lignin Nanoparticles Made from Lignin-Acrylic Acid-Methyl Methacrylate Copolymers","year":2022,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs; Northern Ontario Heritage Fund Corporation","keywords":"Potassium persulfate; Copolymer; Acrylic acid; Polymer chemistry; Methyl methacrylate; Materials science; Nanoparticle; Nuclear chemistry; Fourier transform infrared spectroscopy; Monomer; Chemistry; Chemical engineering; Organic chemistry; Polymer","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003565738,0.0003838956,0.0005327198,0.00009540418,0.0002464488,0.0001218655,0.0005285072,0.0001456091,0.001281084],"category_scores_gemma":[0.00002421919,0.0004154565,0.0001404366,0.0002966611,0.00007233349,0.0001541625,0.0002642547,0.0001715907,0.0002359937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638948,"about_ca_system_score_gemma":0.00004484097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007854735,"about_ca_topic_score_gemma":0.000001818028,"domain_scores_codex":[0.9978054,0.0001501722,0.0005800739,0.0004449669,0.0003896517,0.0006298018],"domain_scores_gemma":[0.9990147,0.0001035426,0.0001015865,0.000557308,0.00001996489,0.0002029239],"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":[0.00001316901,0.00003771808,0.0001053627,0.00004287688,0.0001252284,0.0000405194,0.0004526537,0.0001450179,0.9834555,0.00003869963,0.01520732,0.0003359177],"study_design_scores_gemma":[0.0006468554,0.00005069205,0.00005858346,0.00001616806,0.00005747863,0.00002014491,0.0002857695,0.00008064986,0.9899247,0.0004426565,0.007924581,0.000491726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923308,0.002386559,0.000002348826,0.0001234011,0.001989565,0.0002170917,0.0005096837,0.0009080899,0.001532433],"genre_scores_gemma":[0.9980192,0.00008260713,0.000499828,0.0001910038,0.0004321922,0.0002482379,0.0001177045,0.0001193837,0.0002898527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007282739,"threshold_uncertainty_score":0.9998297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009370275498053705,"score_gpt":0.2072998273329832,"score_spread":0.1979295518349295,"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."}}