{"id":"W2948482043","doi":"10.1039/c9ra02526j","title":"Synergistic effect of lignin incorporation into polystyrene for producing sustainable superadsorbent","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Thunder Bay Regional Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Northern Ontario Heritage Fund Corporation","keywords":"Polystyrene; Adsorption; Quartz crystal microbalance; Chemical engineering; Aqueous solution; Chemistry; Lignin; Wetting; Sorption; Polymerization; Emulsion polymerization; Surface modification; Polymer; 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":[0.0001423374,0.0001187071,0.0001977911,0.00003837006,0.00002834683,0.00001206016,0.00008543821,0.00004329242,0.000003610627],"category_scores_gemma":[0.00005297241,0.0001047484,0.00004280371,0.0001057487,0.00001477033,0.0001981734,0.00001720715,0.00004778526,0.000006421492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006036222,"about_ca_system_score_gemma":0.00001544168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001235704,"about_ca_topic_score_gemma":0.000002422358,"domain_scores_codex":[0.9993893,0.00000921189,0.0001688101,0.0001571796,0.00009400211,0.0001815221],"domain_scores_gemma":[0.9995974,0.000109135,0.00003824425,0.0001780727,0.00004563917,0.00003155029],"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":[0.00002228217,0.00001540566,0.003669215,0.00519264,0.00003272148,0.000001811211,0.0002667997,0.01326548,0.9742677,0.0006463372,0.0009822637,0.001637356],"study_design_scores_gemma":[0.0003417806,0.0001516639,0.00001976076,0.00007222417,0.00001588099,6.068949e-7,0.0001252884,0.001220946,0.9957603,0.0006505811,0.001516757,0.0001242105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940785,0.002397776,0.0008052042,0.00001686871,0.0002603624,0.0004214931,0.000003920768,0.000118219,0.00189764],"genre_scores_gemma":[0.998123,0.00004137823,0.0009468445,0.000003122089,0.0001183699,0.00006096368,0.00002466322,0.00002310778,0.0006585381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02149262,"threshold_uncertainty_score":0.4271514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002398532533757667,"score_gpt":0.2100027128765921,"score_spread":0.2076041803428344,"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."}}