{"id":"W3164559651","doi":"10.1002/jsfa.11346","title":"Identification of sensory properties driving consumers' liking of commercially available kale and arugula","year":2021,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Aroma; Quantitative Descriptive Analysis; Taste; Food science; Leafy; Leafy vegetables; Mathematics; Biology; Horticulture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006203461,0.0001831084,0.0002057813,0.000251313,0.0002539803,0.0006861145,0.0001416032,0.0002404236,0.004731193],"category_scores_gemma":[0.001102924,0.00008429663,0.0003307822,0.0002082652,0.000206282,0.0004124524,0.00030158,0.0003655391,0.0003668545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530274,"about_ca_system_score_gemma":0.000109565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814228,"about_ca_topic_score_gemma":0.00268376,"domain_scores_codex":[0.9997843,0.00006126438,0.00001740092,0.00004012138,0.00006966091,0.00002727971],"domain_scores_gemma":[0.9989597,0.000434253,0.0002719374,0.00004545701,0.0002170919,0.00007152502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003104355,0.0009591738,0.8421799,0.0007124454,0.0001913442,0.0004951186,0.005887222,0.0001951981,0.1062651,0.0002077261,0.0005125831,0.03928984],"study_design_scores_gemma":[0.000008400131,0.0012457,0.991698,0.0000259776,0.00004912604,0.0002300732,0.002193439,0.0003877771,0.003539733,0.00003976918,0.0005687933,0.00001320846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991373,0.00004910237,0.00009061659,0.00001222288,0.000001496303,0.00000856,0.00005218885,0.000003064137,0.0006454305],"genre_scores_gemma":[0.9989055,0.00004003645,0.0004338869,0.0000121017,0.000001657762,0.000009471747,0.0001027146,0.000002186932,0.000492432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004731193,"threshold_uncertainty_score":0.01582736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384006067610539,"score_gpt":0.2422525915611758,"score_spread":0.2084125308850704,"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."}}