{"id":"W2602376371","doi":"10.1002/9781118590263.ch7","title":"Sensory Evaluation Techniques for Detecting and Quantifying Bitterness in Food and Beverages","year":2017,"lang":"en","type":"other","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Food science; Bitter taste; Taste; Perception; Sensory system; Food products; Caffeine; Masking (illustration); Chemistry; Biochemical engineering; Psychology; Cognitive psychology; Engineering","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":[0.00007080498,0.000178603,0.0002172855,0.0001820516,0.00002701371,0.00002976683,0.00007839525,0.0003302796,0.000006733955],"category_scores_gemma":[0.0001845864,0.0001734365,0.00001527735,0.00002492454,0.00004662756,0.0000506435,0.00004302324,0.0001553482,2.711493e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004102254,"about_ca_system_score_gemma":0.000001288645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001870074,"about_ca_topic_score_gemma":0.0002970382,"domain_scores_codex":[0.9994467,0.000005533064,0.0001018641,0.0002176126,0.0000710716,0.0001572338],"domain_scores_gemma":[0.9996546,0.00007293407,0.0000550372,0.0001894595,0.00001301644,0.00001496527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004708358,0.000005292297,0.0002741779,0.001278281,0.00005849853,0.000002414308,0.00004697082,0.00004176953,0.1923316,0.000103825,0.002281976,0.8035705],"study_design_scores_gemma":[0.0004039472,0.00003830482,0.00005574692,0.000818307,0.00002718606,0.000009052926,0.00008653917,0.007791998,0.9652361,0.002567542,0.02242335,0.0005419069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.488237,0.03785062,0.1040198,0.0002162161,0.0007548026,0.008371991,0.0001478921,0.02213861,0.338263],"genre_scores_gemma":[0.951818,0.001471078,0.03729029,0.00000821639,0.0000999864,0.0002319345,0.000007705511,0.0004244554,0.008648347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8030286,"threshold_uncertainty_score":0.7072536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05661288289173245,"score_gpt":0.3167197846282598,"score_spread":0.2601069017365273,"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."}}