{"id":"W3202968874","doi":"10.15376/biores.16.4.7671-7683","title":"Potato starch nanocrystal preparation via supercritical carbon dioxide pretreatment combined with enzymatic hydrolysis","year":2021,"lang":"en","type":"article","venue":"BioResources","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Supercritical carbon dioxide; Starch; Materials science; Enzymatic hydrolysis; Fourier transform infrared spectroscopy; Crystallinity; Scanning electron microscope; Supercritical fluid; Transmission electron microscopy; Hydrolysis; Chemical engineering; Nuclear chemistry; Chemistry; Organic chemistry; Nanotechnology; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000105416,0.0002926541,0.0004039458,0.0001309056,0.00007069805,0.00006765118,0.0001647238,0.0001241845,0.0002332999],"category_scores_gemma":[0.0001695285,0.0002597513,0.000145568,0.0006349554,0.0001067648,0.00009751232,0.00009921422,0.0001390942,0.0000181301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134853,"about_ca_system_score_gemma":0.00005872614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001625814,"about_ca_topic_score_gemma":0.0001748662,"domain_scores_codex":[0.9979746,0.00008580717,0.0004234319,0.0005251222,0.0006072023,0.0003838863],"domain_scores_gemma":[0.9988064,0.0002073605,0.00003483001,0.0005913156,0.0001599441,0.0002001969],"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":[0.0005538475,0.0004826017,0.01498141,0.0002563712,0.0007037469,0.00021035,0.002787939,0.006595816,0.9724388,0.0006922032,0.00005412113,0.0002428554],"study_design_scores_gemma":[0.001347936,0.0003212315,0.001260174,0.0001070577,0.0004189416,0.00007231265,0.0005468728,0.1000548,0.8946677,0.00007657654,0.0006061913,0.0005201871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954981,0.0004258903,0.001721588,0.0002283274,0.0000453382,0.0002209901,0.00002195311,0.0002664533,0.001571383],"genre_scores_gemma":[0.998182,0.00001019262,0.0009752757,0.00004898771,0.0000699939,0.0001076319,0.0001931798,0.00005672509,0.0003560333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09345902,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007677306018976398,"score_gpt":0.2246538706207401,"score_spread":0.2169765646017637,"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."}}