{"id":"W4409373262","doi":"10.18280/isi.300302","title":"Remote Organoleptic Testing System Using Pairwise Comparison Scale in Sensory Evaluation of Food Products","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministrstvo za visoko šolstvo, znanost in tehnologijo","keywords":"Organoleptic; Sensory system; Pairwise comparison; Food science; Scale (ratio); Sensory analysis; Computer science; Mathematics; Artificial intelligence; Biology; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003396203,0.0001649046,0.0002902396,0.0004037935,0.00005880177,0.00003312156,0.0001378889,0.0001507455,0.000001177617],"category_scores_gemma":[0.001264667,0.0001798319,0.00002491726,0.001188593,0.00008284386,0.0007937032,0.00004612172,0.0001746743,0.000005069744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305435,"about_ca_system_score_gemma":0.00003958077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002428748,"about_ca_topic_score_gemma":0.000009064568,"domain_scores_codex":[0.9985235,0.00004214074,0.0007942337,0.0001128833,0.0002871823,0.0002400233],"domain_scores_gemma":[0.9989484,0.00007526101,0.0001958393,0.0002740004,0.000487172,0.00001932528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001167026,0.00001273581,0.002963252,0.003714813,0.00003215436,3.057917e-7,0.00125808,0.609642,0.2364497,0.0002152718,0.00001478827,0.1456852],"study_design_scores_gemma":[0.0002616482,0.00001566212,0.0008354899,0.0008918778,0.00002801724,0.000005163307,0.001662132,0.6048146,0.3905503,0.0008109593,0.00001000032,0.0001140747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758081,0.0003078326,0.01894732,0.000005139455,0.000177233,0.0005086344,0.000006040221,0.0007155817,0.003524076],"genre_scores_gemma":[0.9845721,0.000003239495,0.01536862,0.000003397499,0.00001302653,0.00001188882,0.00001232738,0.00001336988,0.000002086628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1541006,"threshold_uncertainty_score":0.7333331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911364418928458,"score_gpt":0.2614484934384085,"score_spread":0.2223348492491239,"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."}}