{"id":"W1501498992","doi":"10.1111/j.1745-4557.2011.00383.x","title":"DETERMINATION AND PREDICTION OF ODOR THRESHOLDS FOR ODOR ACTIVE VOLATILES IN A NEUTRAL APPLE JUICE MATRIX","year":2011,"lang":"en","type":"article","venue":"Journal of Food Quality","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Odor; Orange juice; Aroma; Fruit juice; Chemistry; Food science; Detection threshold; Mathematics; Logarithm; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001433544,0.0006650413,0.0003565192,0.0004305867,0.0001568604,0.0005932322,0.0002779509,0.0003853236,0.0004741868],"category_scores_gemma":[0.002339471,0.0002796279,0.0005544411,0.0002463451,0.0002231196,0.0004398878,0.0003093872,0.0003680615,0.0001986314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004585452,"about_ca_system_score_gemma":0.0002917217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002762644,"about_ca_topic_score_gemma":0.002208636,"domain_scores_codex":[0.9994649,0.0001381959,0.00003444748,0.0001329215,0.0001924302,0.00003707763],"domain_scores_gemma":[0.9991703,0.0005077012,0.0001087083,0.00003698703,0.0001411782,0.00003509448],"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":[0.001101379,0.0002765551,0.03755377,0.0001651208,0.00009297917,0.00005550674,0.0001189354,0.02319561,0.9215608,0.0001851508,0.00009796097,0.01559638],"study_design_scores_gemma":[0.00006177592,0.00269572,0.09971853,0.00002361096,0.0001241769,0.0001301928,0.0001505451,0.346864,0.5487951,0.0006090963,0.0007570522,0.00007016932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690898,0.0002104888,0.02995114,0.00001965219,0.000009422934,0.00007771852,0.0002298176,0.00009337738,0.0003185557],"genre_scores_gemma":[0.9866813,0.0001041519,0.01264554,0.00001441101,0.000002358873,0.00005189388,0.0002072549,0.00001222641,0.0002808775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002762644,"threshold_uncertainty_score":0.007581413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113784837313481,"score_gpt":0.3140621699601941,"score_spread":0.2002773326467131,"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."}}