{"id":"W2808205544","doi":"10.1002/cssc.201800994","title":"Synthesis and Characterization of Carboxyethylated Lignosulfonate","year":2018,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Islamic Azad University; Canada Research Chairs; Lakehead University; Canada Foundation for Innovation; Northern Ontario Heritage Fund Corporation; Ontario Research Foundation","keywords":"Chemistry; Hydroxide; Nuclear magnetic resonance spectroscopy; Sulfite; Spectroscopy; Fourier transform infrared spectroscopy; Gel permeation chromatography; Carbon-13 NMR; Nuclear chemistry; Organic chemistry; Chemical engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0000349887,0.00008221046,0.0001085764,0.00002018577,0.00001543058,0.000007748608,0.00005536296,0.00007896004,0.00002397554],"category_scores_gemma":[0.00001468502,0.00008442497,0.00001703297,0.00008772844,0.00005685628,0.00004518915,0.000017624,0.00004487495,0.000009225932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001013242,"about_ca_system_score_gemma":0.000005471137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000130545,"about_ca_topic_score_gemma":1.679692e-7,"domain_scores_codex":[0.9996359,0.000002317653,0.0001146523,0.00008842324,0.00005635802,0.000102336],"domain_scores_gemma":[0.9997611,0.0000184455,0.00002210294,0.0001181285,0.0000380753,0.00004215449],"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":[0.000001484288,0.00000492958,0.0002877803,0.00008838472,0.00001981482,5.180313e-7,0.0001197748,1.715323e-7,0.9983303,0.00001454455,0.0002407568,0.000891545],"study_design_scores_gemma":[0.00008220697,0.000006459669,0.0007831728,0.00003293473,0.00001065873,0.000002118495,0.00001217452,0.0004916669,0.9972519,0.00001608344,0.001218865,0.00009178148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860292,0.00006924433,0.0000209943,0.00001774975,0.0000813455,0.00002902971,0.000008101841,0.0001201471,0.0136242],"genre_scores_gemma":[0.9995742,0.00006434789,0.000102052,0.000009208505,0.0001246372,0.000006093355,0.000008450768,0.00001810336,0.00009288591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01354503,"threshold_uncertainty_score":0.344275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005443566960856858,"score_gpt":0.1783083943313487,"score_spread":0.1728648273704918,"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."}}