{"id":"W3185414660","doi":"10.1002/fsn3.2412","title":"Sunroot snack bar: Optimization, characterization, consumer perception, and storage stability assessment","year":2021,"lang":"en","type":"article","venue":"Food Science & Nutrition","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flavor; Food science; Shelf life; Response surface methodology; Chemistry; Taste; Sensory analysis; Bacterial growth; Inulin; Bar (unit); Central composite design; Mathematics; Biology; Chromatography","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":[0.0006690071,0.0001826841,0.0002383626,0.0002579692,0.0005885519,0.000265883,0.0002464314,0.0001791076,0.0004994111],"category_scores_gemma":[0.0004303388,0.0002018044,0.00004262584,0.001385188,0.0009658279,0.0008140273,0.000150914,0.0002372257,0.0000134358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002780049,"about_ca_system_score_gemma":0.0001607624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005859887,"about_ca_topic_score_gemma":0.00001473182,"domain_scores_codex":[0.9978545,0.0001853497,0.0003966857,0.0007663427,0.0003943466,0.0004027699],"domain_scores_gemma":[0.9982855,0.0000403884,0.0001489731,0.0005032866,0.0008921966,0.0001296521],"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":[0.0000287731,0.0003435391,0.003402183,0.00008553542,0.000006114787,0.000001566519,0.0002878028,0.0000359426,0.9917104,0.001005687,0.0001246373,0.002967767],"study_design_scores_gemma":[0.00302976,0.001166721,0.1519157,0.0002579252,0.0001275977,0.000247892,0.002007648,0.01102876,0.7925333,0.001748374,0.03485768,0.001078626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692599,0.000239739,0.02363309,0.004600749,0.001255129,0.0005259666,0.0001362473,0.0001988436,0.0001503174],"genre_scores_gemma":[0.9776317,0.0001933004,0.02132875,0.0004189751,0.0001178634,0.00003608951,0.0002453663,0.00001806598,0.000009870952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991772,"threshold_uncertainty_score":0.8229346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853601466267743,"score_gpt":0.2742848253821102,"score_spread":0.2557488107194327,"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."}}