{"id":"W2884037026","doi":"10.1021/acsomega.8b01176","title":"Hardwood Kraft Lignin-Based Hydrogels: Production and Performance","year":2018,"lang":"en","type":"article","venue":"ACS Omega","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada; Canada Foundation for Innovation; Northern Ontario Heritage Fund Corporation","keywords":"Hardwood; Pulp and paper industry; Lignin; Kraft paper; Production (economics); Self-healing hydrogels; Kraft process; Chemistry; Botany; Engineering; Organic chemistry; Biology; Economics","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":[0.0001638897,0.0003130614,0.0001063868,0.0001528445,0.00007126614,0.0001483422,0.0001469672,0.0001256814,0.0006852941],"category_scores_gemma":[0.0001121607,0.00007434962,0.00009588758,0.0001634212,0.00005637888,0.0002980934,0.00009261611,0.0001850531,0.0002092361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698964,"about_ca_system_score_gemma":0.0001165972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005637946,"about_ca_topic_score_gemma":0.001122429,"domain_scores_codex":[0.9999459,0.000005098314,0.000004541057,0.00001067303,0.00001883884,0.00001495523],"domain_scores_gemma":[0.9999208,0.00001156029,0.00002792634,0.000005296182,0.00001434496,0.00002010872],"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":[0.00002438779,0.00001513015,0.00009877717,0.00002911856,0.000002092856,0.000008398959,0.00000623301,0.00009087058,0.9970688,0.00001671011,0.00001272053,0.002626728],"study_design_scores_gemma":[0.000001782102,0.00005971587,0.0008907352,0.000001652199,0.000004320905,0.00001908388,0.000003214689,0.0003647039,0.998331,0.000007390749,0.000314239,0.000002133509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899998,0.002566837,0.005916866,0.00004023332,0.00001142006,0.00003562914,0.0003756891,0.00008590641,0.0009675839],"genre_scores_gemma":[0.9926978,0.0008500492,0.004498139,0.00001911604,0.000005713446,0.00001483434,0.0002261349,0.00001750799,0.001670734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006852941,"threshold_uncertainty_score":0.002292573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007471361422429185,"score_gpt":0.1914290332560247,"score_spread":0.1839576718335955,"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."}}