{"id":"W2010328845","doi":"10.1002/cjce.20298","title":"Structure–process–yield interrelations in nanocrystalline cellulose extraction","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":352,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Crystallinity; Cellulose; Crystallite; Nanocrystalline material; Sulfuric acid; Hydrolysis; Materials science; Degree of polymerization; Chemical engineering; Yield (engineering); Acid hydrolysis; Extraction (chemistry); Amorphous solid; Polymerization; Organic chemistry; Chemistry; Polymer; Composite material; Nanotechnology; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000263943,0.00008850658,0.0001301233,0.0001354759,0.00005058977,0.00004228347,0.0002659645,0.00006310532,0.0002823413],"category_scores_gemma":[0.0008652671,0.00006456589,0.00003667757,0.0001664516,0.00008466005,0.0001883071,0.00001415601,0.0007687876,0.000004292124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207145,"about_ca_system_score_gemma":0.0002244491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004610457,"about_ca_topic_score_gemma":0.003256586,"domain_scores_codex":[0.9992111,0.00000811826,0.0002612141,0.00007704632,0.0001706517,0.0002718804],"domain_scores_gemma":[0.9993216,0.0001637477,0.00008202028,0.0001060108,0.00009965315,0.0002269848],"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":[0.000004933544,0.000003139611,0.0000653336,0.00001075195,0.000003993195,0.00002678058,0.0002565233,0.009029795,0.9901923,0.0002394194,0.00002499524,0.0001420366],"study_design_scores_gemma":[0.000124301,0.00001146867,0.0001325014,0.00005411561,0.000005867404,0.000117343,0.00002858666,0.002696555,0.9953008,0.001029392,0.0004126334,0.00008644631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978665,0.0001601663,0.0009335584,0.0004899622,0.0003988813,0.0000481882,0.000005351505,0.000007028187,0.00009042774],"genre_scores_gemma":[0.9987058,0.000001526339,0.001036215,0.00001381291,0.0002068635,0.000001559678,7.442601e-7,0.00001121534,0.00002225681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006333241,"threshold_uncertainty_score":0.3340043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096270295041232,"score_gpt":0.2510212508464807,"score_spread":0.2400585478960684,"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."}}