{"id":"W3207454091","doi":"10.1016/j.indcrop.2021.114148","title":"Rapid, high-yield production of lignin-containing cellulose nanocrystals using recyclable oxalic acid dihydrate","year":2021,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Forests, Lands, Natural Resource Operations and Rural Development; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Oxalic acid; Cellulose; Lignin; Yield (engineering); Chemistry; Nuclear chemistry; Organic chemistry; Nanocrystal; Materials science; Nanotechnology","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":[0.001271268,0.0002573561,0.0005298827,0.0001058872,0.0003486006,0.0001217851,0.0001601893,0.0001649558,0.0001219044],"category_scores_gemma":[0.003202934,0.0002292786,0.00004513882,0.0006905744,0.000301073,0.0004844229,0.0003161253,0.000317258,0.00001143458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008071093,"about_ca_system_score_gemma":0.0004384355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002924826,"about_ca_topic_score_gemma":0.00001648485,"domain_scores_codex":[0.9972885,0.0003053159,0.0005424465,0.0008358482,0.0004531106,0.0005748068],"domain_scores_gemma":[0.9983438,0.0001346746,0.0003116017,0.0005000899,0.0005883683,0.0001215215],"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":[0.000177526,0.00007866639,0.0001496005,0.0001154968,0.0000332277,0.00004720518,0.0004037003,0.0000739076,0.9932736,0.0001666225,0.001336118,0.004144398],"study_design_scores_gemma":[0.0005584594,0.0002127558,0.00003112481,0.0002140952,0.00004214312,0.00003384607,0.0004461799,0.000009276559,0.9919053,0.0005022363,0.005795595,0.0002490439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910064,0.005044729,0.00002873464,0.001137675,0.00189275,0.0004736192,0.00002482073,0.00005365131,0.0003375618],"genre_scores_gemma":[0.9933562,0.0004916125,0.002371653,0.00002128032,0.001408778,0.00001748446,0.00001244942,0.00003140183,0.002289195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004553116,"threshold_uncertainty_score":0.9349709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09572653658358703,"score_gpt":0.28983864018945,"score_spread":0.194112103605863,"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."}}