{"id":"W2076626005","doi":"10.6000/1927-520x.2013.02.03.2","title":"Buffalo Sensory Analysis of Meat in the City of Medellin, Colombia, South America","year":2013,"lang":"en","type":"article","venue":"Journal of Buffalo Science","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate analysis of variance; Statistics; Analysis of variance; Taste; Statistical analysis; Canonical analysis; Mathematics; Psychology; Food science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002318922,0.000282477,0.0002594005,0.001222021,0.0006027987,0.0006905437,0.0001677103,0.0001532454,0.003129352],"category_scores_gemma":[0.0004668107,0.00009320271,0.0001516073,0.001118864,0.0003275403,0.0002050102,0.0003938518,0.0001537756,0.0001826961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007997691,"about_ca_system_score_gemma":0.0004151792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07878109,"about_ca_topic_score_gemma":0.2653685,"domain_scores_codex":[0.9998093,0.00003308561,0.00001151878,0.00004575164,0.00007191637,0.00002838688],"domain_scores_gemma":[0.9997503,0.00004150713,0.00006835072,0.000009650996,0.00009311776,0.00003698141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005290585,0.0001587446,0.8939497,0.0005530039,0.0001018087,0.0007623354,0.007804592,0.0001743009,0.0478778,0.0001538549,0.0009732416,0.04696153],"study_design_scores_gemma":[0.000001394994,0.00004237417,0.9952204,0.00001080251,0.000008969821,0.00009568128,0.003506599,0.00006734446,0.0003915124,0.00001009497,0.0006401819,0.000004700367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997331,0.00026469,0.0001845069,0.0000319477,0.000006034312,0.00001967329,0.0004329843,0.000006194537,0.001722906],"genre_scores_gemma":[0.9980981,0.000174352,0.000392529,0.00001757847,0.000003581898,0.00001685383,0.0002759526,0.000003364496,0.001017805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07878109,"threshold_uncertainty_score":0.1566451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05653035419985435,"score_gpt":0.2988274665914551,"score_spread":0.2422971123916007,"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."}}