{"id":"W4396518286","doi":"10.12944/crnfsj.12.1.21","title":"Digital Image Analysis to Evaluate Sensory Attributes of Protein-Enriched Whole-Wheat Bread","year":2024,"lang":"en","type":"article","venue":"Current Research in Nutrition and Food Science Journal","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Digital image analysis; Food science; Sensory system; Sensory analysis; Wheat flour; Computer science; Computer vision; Artificial intelligence; Biology; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005282497,0.0001051942,0.0002609746,0.0005732292,0.0003689987,0.001028509,0.0003002029,0.00003859948,0.0001095372],"category_scores_gemma":[0.0008049429,0.00004425304,0.0001402027,0.006485278,0.0005515991,0.0005249045,0.0001139955,0.0004909896,0.00001299206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007833566,"about_ca_system_score_gemma":0.00005013152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006475258,"about_ca_topic_score_gemma":0.00002132286,"domain_scores_codex":[0.9971725,0.0003511192,0.0003933219,0.0004035249,0.001198514,0.0004810495],"domain_scores_gemma":[0.9983436,0.0005268959,0.00004358889,0.00006144206,0.0006197798,0.0004047242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000382069,0.000317713,0.001851634,0.0000877926,0.00004475988,0.00001697089,0.00009228131,0.000006786188,0.5370246,0.001063863,0.000176214,0.4592792],"study_design_scores_gemma":[0.002524897,0.01067833,0.6101555,0.005025104,0.0005743631,0.0003622834,0.01079292,0.07468761,0.05811614,0.1640169,0.06099258,0.002073292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921955,0.00302482,0.0007473327,0.003297443,0.00008444998,0.000267419,0.000159583,0.00001262662,0.0002108324],"genre_scores_gemma":[0.9985776,0.0003780308,0.000807534,0.000007638017,0.0001506071,0.00001542203,0.00001152654,7.029448e-7,0.0000509673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6083039,"threshold_uncertainty_score":0.9917939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2211914768246451,"score_gpt":0.4529115109050145,"score_spread":0.2317200340803694,"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."}}