{"id":"W4281789724","doi":"10.1016/j.cej.2022.137434","title":"A technique for the ultrasonic dispersion of larger quantities of cellulose nanocrystals with in-line validation","year":2022,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Rheometry; Materials science; Dispersion (optics); Sonication; Viscosity; Ultrasonic sensor; Cellulose; Process engineering; Nanotechnology; Polymer; Chemical engineering; Composite material; Acoustics; Optics; Engineering","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":[0.0006502944,0.00007582887,0.0001700356,0.00006898064,0.00007367849,0.0000087507,0.000195508,0.00001773806,0.00006713878],"category_scores_gemma":[0.0002459919,0.00004933558,0.00005112174,0.0001693165,0.0000661907,0.0000733522,0.00008005824,0.000203945,1.451804e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008713423,"about_ca_system_score_gemma":0.00004208905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003511055,"about_ca_topic_score_gemma":1.265781e-7,"domain_scores_codex":[0.9991624,0.00002054544,0.0002433295,0.0000895234,0.0002949514,0.0001892226],"domain_scores_gemma":[0.9993052,0.0003762765,0.0001153249,0.00009723784,0.00007769909,0.00002822629],"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":[0.00008118324,0.00004124283,0.00003897125,0.0001015123,0.000009165781,0.000002305247,0.0001513218,0.03282227,0.9664619,0.0002228567,0.00002117673,0.00004608113],"study_design_scores_gemma":[0.0003137701,0.0001142464,0.00001797665,0.00007258262,0.000008613115,0.00003564208,0.0001978954,0.002608653,0.9962861,0.0001053114,0.0001799348,0.00005927053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7686938,0.001067574,0.2297951,0.00009459026,0.0000630146,0.0002449518,0.00002252464,0.00001036372,0.000008146509],"genre_scores_gemma":[0.9870116,0.0000707525,0.01276359,0.000002054906,0.00003086116,0.00007964254,0.00000246414,0.00001211101,0.00002696106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2183178,"threshold_uncertainty_score":0.2011847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528315084994565,"score_gpt":0.2577449017596962,"score_spread":0.2424617509097506,"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."}}