{"id":"W2796016970","doi":"10.5539/jfr.v7n3p82","title":"Sensory Descriptive Profiling and Consumer Acceptance of Made-in-transit (MIT) Set Yoghurt","year":2018,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Starter; Food science; Skimmed milk; Shelf life; Fortification; Fermentation; Food industry; Mathematics; Chemistry; Business","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":[0.002527962,0.00007384802,0.0002870539,0.00006661105,0.0001095908,0.00003518914,0.0001759462,0.00007446963,0.0002136315],"category_scores_gemma":[0.0007843054,0.00002781924,0.00007440362,0.0004859629,0.0004220495,0.00009921573,0.00003596771,0.0003974312,0.000003169993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002146808,"about_ca_system_score_gemma":0.00002171751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003346484,"about_ca_topic_score_gemma":0.0001330819,"domain_scores_codex":[0.9980005,0.0007042937,0.0004005611,0.0001494784,0.0004804456,0.0002647376],"domain_scores_gemma":[0.9979169,0.001104842,0.0001232706,0.00004100441,0.0006901831,0.0001237921],"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":[0.0003236173,0.00007784113,0.009229756,0.00001879253,0.00006812377,0.00003226283,0.0004065792,0.000001544438,0.9318544,0.0007805416,0.0001346801,0.05707192],"study_design_scores_gemma":[0.0007729107,0.006580092,0.3100408,0.0002515187,0.00006711666,0.0001422973,0.007378038,0.0005069692,0.6598774,0.01197948,0.002130739,0.0002726433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979784,0.0007177197,0.00009976509,0.0004597392,0.00004877777,0.00008436399,0.00002587958,0.000001899955,0.0005834659],"genre_scores_gemma":[0.9953535,0.000166689,0.004176886,0.00002311935,0.0001759049,8.803235e-7,5.979074e-7,7.691673e-7,0.0001016924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.300811,"threshold_uncertainty_score":0.2339115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2451031631218787,"score_gpt":0.4130700248030346,"score_spread":0.167966861681156,"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."}}