{"id":"W1957187485","doi":"10.1016/j.foodhyd.2015.09.017","title":"Cruciferin nanoparticles: Preparation, characterization and their potential application in delivery of bioactive compounds","year":2015,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dispersity; Chemistry; Nanoparticle; Bioavailability; Circular dichroism; Nanocapsules; Fluorescence; Chemical engineering; Chromatography; Biophysics; Nuclear chemistry; Nanotechnology; Biochemistry; Materials science; Organic chemistry","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":[0.0002288741,0.00009726843,0.0001621213,0.00002225391,0.00004835751,0.00002763538,0.0001166645,0.00007658652,0.000002992994],"category_scores_gemma":[0.00001241476,0.00004497403,0.00002524628,0.0002680338,0.00005093012,0.00019975,0.00005599672,0.00004391489,0.000005179672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003986146,"about_ca_system_score_gemma":0.00001423145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001694344,"about_ca_topic_score_gemma":0.0004114251,"domain_scores_codex":[0.9991843,0.0000875479,0.0002656258,0.000209023,0.0001281869,0.0001253538],"domain_scores_gemma":[0.9996321,0.00002288858,0.0001398396,0.00005889779,0.00008457564,0.00006168142],"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":[0.0001196054,0.00007828203,0.003475103,0.000005987226,0.000008479971,1.437531e-7,0.0005504818,0.00001933627,0.9901948,0.00008434935,0.000005702631,0.005457759],"study_design_scores_gemma":[0.0009627612,0.00364358,0.1250498,0.00005679568,0.00001155204,0.00001605891,0.001875776,0.007679594,0.8551859,0.001239302,0.003910319,0.0003684972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986687,0.00006904893,0.0001523716,0.0001061515,0.00004928915,0.0007375183,0.00004316922,0.00003276185,0.0001409447],"genre_scores_gemma":[0.9996261,0.000005570753,0.00002379065,0.00001915947,0.00007527654,0.0001598755,0.00006729212,0.000001091745,0.00002186304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1350088,"threshold_uncertainty_score":0.1833988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028591520317611,"score_gpt":0.2168250267420886,"score_spread":0.1965391115389125,"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."}}