{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005561111,0.0003812294,0.0003466481,0.0002716678,0.0001513637,0.0004070408,0.0001400701,0.0001973178,0.0008131291],"category_scores_gemma":[0.001167092,0.0002324994,0.0002534394,0.0003117643,0.0002733422,0.0005607572,0.000276862,0.0003576528,0.0002904861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981975,"about_ca_system_score_gemma":0.0002140904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008098851,"about_ca_topic_score_gemma":0.001653838,"domain_scores_codex":[0.9996665,0.000050867,0.00003563516,0.00006231042,0.0001368494,0.00004794613],"domain_scores_gemma":[0.9991131,0.0004921067,0.000166707,0.00007287094,0.000125251,0.00002986277],"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":[0.00005059435,0.00001278828,0.0003275709,0.00002125207,0.000005103279,0.00002180895,0.00001315026,0.0002679212,0.9976355,0.00001722825,0.000006293108,0.001620814],"study_design_scores_gemma":[0.000001344589,0.00004219699,0.001499552,9.206453e-7,0.000005081836,0.00001715288,0.000005454942,0.0005679356,0.9977506,0.00001254601,0.00009545019,0.00000181195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888588,0.001151704,0.008092333,0.0000410504,0.000008685983,0.00004364948,0.0002184417,0.00007194827,0.001513344],"genre_scores_gemma":[0.9939272,0.0005009678,0.004274703,0.00001807478,0.000004673685,0.00002256423,0.0002145087,0.00003755914,0.0009998656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008131291,"threshold_uncertainty_score":0.002941012,"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."}}