{"id":"W2776865379","doi":"10.1098/rsta.2017.0041","title":"Optimization of cellulose nanocrystal length and surface charge density through phosphoric acid hydrolysis","year":2017,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Phosphoric acid; Hydrolysis; Sulfuric acid; Thermal stability; Zeta potential; Cellulose; Chemical engineering; Acid hydrolysis; Materials science; Nanomaterials; Surface charge; Nanocrystal; Colloid; Nanoparticle; Chemistry; Inorganic chemistry; Nanotechnology; Organic chemistry; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005972186,0.0004478983,0.0004135226,0.0002326538,0.0001376196,0.0003901685,0.0002925623,0.0002839145,0.0004206797],"category_scores_gemma":[0.0007805322,0.0002610536,0.0003632426,0.0002153987,0.0002106722,0.0003457745,0.000214764,0.0003588103,0.0001364325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006199544,"about_ca_system_score_gemma":0.0003875312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009463356,"about_ca_topic_score_gemma":0.001845758,"domain_scores_codex":[0.9996872,0.00004151651,0.00003298602,0.00009476,0.0001068529,0.00003658361],"domain_scores_gemma":[0.9996333,0.0001652154,0.0001034036,0.00002412882,0.00005010968,0.00002374083],"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":[0.00009653125,0.00004531661,0.0002043267,0.00004691806,0.000009668507,0.00001400487,0.00001413427,0.003031408,0.9930794,0.00007986063,0.0000168739,0.003361612],"study_design_scores_gemma":[0.00001282706,0.0001992435,0.000475141,0.000002235421,0.00001226387,0.00001003246,0.00000480445,0.008070643,0.9909062,0.00002150379,0.0002781523,0.000006789324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836581,0.0005534947,0.01460791,0.00004281718,0.00001352391,0.00006656766,0.0001041727,0.00007958706,0.000873787],"genre_scores_gemma":[0.9810311,0.0005324472,0.01764716,0.00002193303,0.000004958542,0.00007080854,0.00007689581,0.00003656647,0.0005780713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009463356,"threshold_uncertainty_score":0.004498065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159465801899014,"score_gpt":0.2568362094402536,"score_spread":0.2352415514212635,"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."}}