{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004477734,0.0001248428,0.000693686,0.0001394018,0.0001211459,0.00006564725,0.0002408056,0.00006548293,0.00004565161],"category_scores_gemma":[0.002044217,0.00004413473,0.000353996,0.003390417,0.0001108895,0.0001577676,0.00001793699,0.0001631429,1.798637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002056295,"about_ca_system_score_gemma":0.00001745411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001589556,"about_ca_topic_score_gemma":0.0004369838,"domain_scores_codex":[0.9973649,0.001035754,0.0007895068,0.0002329423,0.0003868789,0.0001900039],"domain_scores_gemma":[0.9966323,0.002111143,0.0005945864,0.00008637702,0.0005082173,0.00006739788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003865195,0.001547287,0.4858319,0.0002121979,0.009368132,0.0000332277,0.0135149,0.00864857,0.3135538,0.002674874,0.0000890158,0.1606609],"study_design_scores_gemma":[0.0003802162,0.001419467,0.9581017,0.00002168086,0.004618744,0.00001572886,0.01857215,0.00474857,0.007980897,0.003464245,0.0004344763,0.0002420762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869559,0.000372392,0.01191839,0.0005085124,0.00001231406,0.0001371789,0.00006888978,0.00000262653,0.00002380035],"genre_scores_gemma":[0.9933902,0.00005369177,0.006337713,0.00008117783,0.00009543193,0.000003614495,0.000008834653,6.557038e-7,0.00002870667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4722698,"threshold_uncertainty_score":0.2447266,"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."}}