{"id":"W4245998256","doi":"10.1111/1750-3841.12687","title":"Industrial Applications of Selected <i>JFS</i> Articles","year":2014,"lang":"en","type":"article","venue":"Journal of Food Science","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ice cream; Food science; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001487215,0.00005025831,0.0001727251,0.00003229662,0.0001359061,0.00003869181,0.0003536754,0.00003248867,0.00006821636],"category_scores_gemma":[0.001216242,0.00001768876,0.00006384704,0.001623985,0.0002452488,0.0001241491,0.00002394195,0.0001238439,0.000002127472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009928077,"about_ca_system_score_gemma":0.0000310044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008079565,"about_ca_topic_score_gemma":0.00001403797,"domain_scores_codex":[0.9988852,0.0001173195,0.0003475536,0.0001045356,0.0004019479,0.0001434962],"domain_scores_gemma":[0.9985649,0.0005037868,0.0002993695,0.00004170641,0.0004632372,0.0001269758],"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":[0.00001399119,0.00006110161,0.001669143,9.177886e-7,0.000006540701,2.04995e-7,0.00002131435,0.00001261297,0.7638136,0.003440045,0.00008959598,0.2308709],"study_design_scores_gemma":[0.0006386771,0.004978122,0.1630851,0.0000530568,0.0001320417,0.0000670548,0.0005754411,0.001869945,0.7701097,0.0364642,0.02169212,0.0003345119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944997,0.00002737412,0.004480737,0.0005105743,0.00005730886,0.00004244218,0.000005565765,0.000004313592,0.0003719399],"genre_scores_gemma":[0.9955532,0.000003909582,0.00416009,0.00005696619,0.0002114156,7.959556e-7,2.75014e-7,2.182113e-7,0.00001313896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2305364,"threshold_uncertainty_score":0.1456043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06272343321586653,"score_gpt":0.2852529007590922,"score_spread":0.2225294675432256,"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."}}