{"id":"W4413060614","doi":"10.3390/chemosensors13070261","title":"Coffees Brewed from Standard Capsules Help to Compare Different Aroma Fingerprinting Technologies—A Comparison of an Electronic Tongue and Electronic Noses","year":2025,"lang":"en","type":"article","venue":"Chemosensors","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Electronic tongue; Electronic nose; Aroma; Odor; Roasting; Taste; Computer science; Sensory analysis; Linear discriminant analysis; Food science; Artificial intelligence; Mathematics; Pattern recognition (psychology); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003687668,0.0003876169,0.0007670801,0.0001984547,0.00008180342,0.00003720928,0.0004622126,0.0001920669,0.000008912461],"category_scores_gemma":[0.0002666812,0.0003795531,0.00006567196,0.0004135506,0.0001887843,0.00008373975,0.0002098873,0.0005929618,0.000003019803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003755214,"about_ca_system_score_gemma":0.00001393557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004452563,"about_ca_topic_score_gemma":0.0002689399,"domain_scores_codex":[0.9980851,0.00001566318,0.0004620839,0.0004768732,0.0001939011,0.0007664236],"domain_scores_gemma":[0.999012,0.0002111657,0.00008543885,0.0005711265,0.00006122648,0.00005902068],"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":[0.00006605338,0.00005723381,0.008773604,0.0001207455,0.0001236696,0.000002355595,0.0002007668,0.002574193,0.9578303,0.0008854586,0.0001898007,0.0291758],"study_design_scores_gemma":[0.0004202857,0.00009443102,0.004846098,0.0001475737,0.00003891554,0.000001581656,0.00228338,0.003872349,0.9819265,0.005094676,0.0009145011,0.0003597242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934639,0.002267332,0.001242025,0.0002541641,0.00006658342,0.0003029426,0.00004412237,0.00220043,0.0001584974],"genre_scores_gemma":[0.9979201,0.0001929219,0.00173529,0.00001670294,0.00001426046,0.00002975389,0.00002593879,0.00004498912,0.00002004086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02881607,"threshold_uncertainty_score":0.9998657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005793428317660447,"score_gpt":0.2511306117184957,"score_spread":0.2453371834008353,"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."}}