{"id":"W2335422631","doi":"10.1021/ac4021402","title":"High-Throughput OEnomics: Shotgun Polyphenomics of Wines","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Wine; Chemistry; Quadrupole time of flight; Chromatography; Shotgun; Electrospray ionization; Mass spectrometry; Polyphenol; Aging of wine; Food science; Organic chemistry","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":[0.0002648396,0.0004024375,0.0004785285,0.0003706067,0.0002185969,0.000576987,0.0003723799,0.0003538155,0.0006294547],"category_scores_gemma":[0.0002395317,0.0001647712,0.0003062545,0.0003129235,0.0001956372,0.0002845814,0.0004432582,0.0004397897,0.0003292346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484129,"about_ca_system_score_gemma":0.0001916843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100809,"about_ca_topic_score_gemma":0.002256418,"domain_scores_codex":[0.9997417,0.00002874849,0.00001062375,0.00008629134,0.00009818691,0.00003439327],"domain_scores_gemma":[0.9999065,0.00002841816,0.00001291994,0.00001408701,0.00001862895,0.00001949149],"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":[0.00002775263,0.000009295132,0.000198974,0.00001628165,0.000005614812,0.00001119131,0.000007693636,0.00005363691,0.9979373,0.0000252731,0.0000255126,0.001681515],"study_design_scores_gemma":[0.00001049697,0.0001998549,0.02271489,0.000006060158,0.00003288603,0.0002085828,0.00004277317,0.007616105,0.9661605,0.0002100462,0.002781664,0.00001611485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9046797,0.0009156557,0.08885004,0.0001701488,0.00004143022,0.0001820593,0.002682936,0.0008315304,0.001646542],"genre_scores_gemma":[0.8607637,0.001481729,0.1260381,0.000255857,0.00004637205,0.0002842635,0.006412731,0.0002373743,0.004479872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001100809,"threshold_uncertainty_score":0.002188861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182878069712728,"score_gpt":0.1973122388522335,"score_spread":0.1854834581551062,"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."}}