{"id":"W2059469391","doi":"10.1111/j.1745-4557.2001.tb00611.x","title":"SENSORY DESCRIPTIVE ANALYSIS AND CORRESPONDENCE ANALYSIS AIDS IN THE CHOOSING OF APPLE GENOTYPES FOR PROCESSED PRODUCTS<sup>1</sup>","year":2001,"lang":"en","type":"article","venue":"Journal of Food Quality","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Sensory analysis; Sensory system; Descriptive statistics; Genotype; Principal component analysis; Quantitative Descriptive Analysis; Mathematics; Flavor; Statistics; Food science; Biology; Psychology; Cognitive psychology; Genetics","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":[0.005422608,0.0004087007,0.0004081174,0.001524235,0.0005424008,0.001031846,0.0004634314,0.0002640455,0.004103823],"category_scores_gemma":[0.01560543,0.0002345894,0.0004606478,0.001192189,0.0004600815,0.0006194079,0.0007006116,0.0005609117,0.0006457182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512467,"about_ca_system_score_gemma":0.0004978957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009190448,"about_ca_topic_score_gemma":0.002449581,"domain_scores_codex":[0.9964356,0.002230535,0.0001903056,0.00034383,0.0006810245,0.0001187189],"domain_scores_gemma":[0.9873242,0.008959671,0.0006710123,0.001023193,0.001762715,0.0002590933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01032629,0.001600869,0.1850615,0.0004526014,0.0002202274,0.0003119602,0.004727001,0.01401544,0.2147166,0.0067271,0.003133676,0.5587067],"study_design_scores_gemma":[0.0002461952,0.004126323,0.6758557,0.00009423168,0.0002379131,0.0006326323,0.005801948,0.1961805,0.1001817,0.01059806,0.005727652,0.000317111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9116712,0.00003322122,0.0838508,0.00006113458,0.00001267783,0.0003840275,0.0004412059,0.000402673,0.003143021],"genre_scores_gemma":[0.9356384,0.00001732983,0.06310749,0.00001728454,0.000006329386,0.0003238194,0.0002494079,0.00006730927,0.0005726136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005422608,"threshold_uncertainty_score":0.02867782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1122082236451533,"score_gpt":0.346845816618123,"score_spread":0.2346375929729697,"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."}}