{"id":"W2015133526","doi":"10.1111/j.1439-0396.2007.00778.x","title":"Optimizing the sensory characteristics and acceptance of canned cat food: use of a human taste panel","year":2008,"lang":"en","type":"article","venue":"Journal of Animal Physiology and Animal Nutrition","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Charles Sturt University; Univerzita Karlova v Praze","keywords":"Flavour; Food science; Chewiness; Flavor; Taste; Organoleptic; Aroma; Chemistry; Quantitative Descriptive Analysis; Texture (cosmology); Sensory analysis; Mathematics; Artificial intelligence; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00155227,0.0004589812,0.0003982349,0.0004483596,0.0002580295,0.000470431,0.0002668845,0.0004385102,0.001887888],"category_scores_gemma":[0.001880397,0.0002347841,0.0004258091,0.0003450956,0.0003028593,0.0003672437,0.0005223164,0.0003846027,0.0004028854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001697097,"about_ca_system_score_gemma":0.0002284871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008487429,"about_ca_topic_score_gemma":0.001355641,"domain_scores_codex":[0.9993404,0.0002200687,0.00003123027,0.0001210376,0.0002422021,0.00004507567],"domain_scores_gemma":[0.9992022,0.0002708294,0.00005965523,0.00006325419,0.0003252901,0.00007879772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001991096,0.0004848474,0.007940523,0.0002140556,0.00005399579,0.00008573414,0.0004608209,0.0006462724,0.9603492,0.00007749202,0.0001764706,0.0275194],"study_design_scores_gemma":[0.0001856783,0.03372322,0.2578902,0.0000555887,0.000377717,0.0008659091,0.001477068,0.0153061,0.6863962,0.0003193261,0.003211101,0.0001917601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822781,0.0001132582,0.01640089,0.00003603151,0.000012113,0.0002541981,0.0001741201,0.00004528121,0.000686062],"genre_scores_gemma":[0.9612083,0.0002803178,0.03521964,0.0001554241,0.00001188397,0.0003939916,0.000523876,0.00004312026,0.002163417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001887888,"threshold_uncertainty_score":0.008209288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112264478974836,"score_gpt":0.2640391171513009,"score_spread":0.1528126692538173,"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."}}