{"id":"W2599798820","doi":"10.1002/9781118590263.ch9","title":"Evaluation of Bitterness by the Electronic Tongue: Correlation between Sensory Tests and Instrumental Methods","year":2017,"lang":"en","type":"other","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Electronic tongue; Electronic nose; Taste; Tongue; Computer science; Flavor; Pattern recognition (psychology); Artificial intelligence; Food science; Medicine; Chemistry","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":[0.0002038535,0.0001681252,0.0002061283,0.00005767625,0.00002301413,0.00001060864,0.0001439745,0.0002966058,0.0000921266],"category_scores_gemma":[0.0001280241,0.0001246946,0.00002461304,0.0000400041,0.0001195838,0.00003951118,0.00004312948,0.0002505284,0.000003489786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321939,"about_ca_system_score_gemma":0.000005718933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003882294,"about_ca_topic_score_gemma":0.00002791971,"domain_scores_codex":[0.9992872,0.00004556646,0.0001230873,0.0001505626,0.000235193,0.000158405],"domain_scores_gemma":[0.9994248,0.00009358078,0.0001154847,0.000326769,0.00002474671,0.00001459711],"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":[0.000001336187,0.000006677725,0.000738996,0.00008272777,0.0002624916,1.680229e-7,0.00002134235,0.0002815006,0.08857118,0.0001297937,0.02764514,0.8822587],"study_design_scores_gemma":[0.0009978603,0.00005683136,0.001082739,0.000255668,0.0007616553,0.00001231421,0.00008912741,0.02256837,0.8310251,0.006268821,0.1360972,0.0007842904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1663978,0.01828021,0.07407169,0.0001299671,0.0005471667,0.002106113,0.0001796568,0.003024877,0.7352625],"genre_scores_gemma":[0.941026,0.0006094804,0.003756339,0.000005240154,0.00009915967,0.00003876232,0.00007398344,0.0002922822,0.05409871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8814744,"threshold_uncertainty_score":0.50849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757635098075082,"score_gpt":0.3365402372239707,"score_spread":0.3089638862432199,"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."}}