{"id":"W2570875863","doi":"10.1038/srep39671","title":"Characterization of Chinese liquor aroma components during aging process and liquor age discrimination using gas chromatography combined with multivariable statistics","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Aroma; Principal component analysis; Chemistry; Gas chromatography; Chromatography; Furfural; Pulp (tooth); Food science; Medicine; Biochemistry; Mathematics; Dentistry; Statistics","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":[0.0002610462,0.0001137313,0.0001850859,0.00004833256,0.001013868,0.000421319,0.00009774152,0.00003106894,0.00003746473],"category_scores_gemma":[0.00005883327,0.00004946216,0.00003244842,0.000235815,0.0002267227,0.000416824,0.00004308956,0.00004122462,3.731263e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001021423,"about_ca_system_score_gemma":0.000007872951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065303,"about_ca_topic_score_gemma":0.0001568533,"domain_scores_codex":[0.9988528,0.000036984,0.0003029628,0.0003631226,0.0002985511,0.0001455225],"domain_scores_gemma":[0.9989596,0.00001772981,0.0006501841,0.000143116,0.0001603962,0.00006899674],"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":[0.00002574008,0.00007108745,0.1358017,0.00004635,0.00001476884,0.00004425899,0.000374762,0.00001881849,0.863336,0.000007435315,0.000001173709,0.0002578496],"study_design_scores_gemma":[0.0001684208,0.00005211499,0.9227171,0.00008778495,0.00003299309,0.0000343503,0.0001613804,0.003263765,0.07283762,0.0004956191,0.00001331615,0.0001355262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993399,0.000002667828,0.00005926588,0.00006809678,0.0002406623,0.0002098505,0.00002143202,0.00002191937,0.00003619571],"genre_scores_gemma":[0.9989259,0.000002796654,0.0003729837,0.000004916259,0.00002229482,0.000005134866,0.0004295736,0.000001486628,0.0002349256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7904984,"threshold_uncertainty_score":0.7797955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877940971742507,"score_gpt":0.2532544896975838,"score_spread":0.2344750799801587,"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."}}