{"id":"W3117583566","doi":"10.1155/2020/8861185","title":"Sensorial and Volatile Analysis of Wines Made from Partially Dehydrated Grapes: An Ontario Case Study","year":2020,"lang":"en","type":"article","venue":"Journal of Food Quality","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Winemaking; Wine; Vintage; Ripeness; Aroma; Food science; Aroma of wine; Brix; Chemistry; Sensory analysis; Fruit wine; Flavour; Quantitative Descriptive Analysis; Sugar; Aging of wine; Fermentation; Ripening; Brewing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003621669,0.00009498706,0.000470493,0.00002858691,0.00008639085,0.00004809356,0.00009287312,0.00004453842,0.0004794679],"category_scores_gemma":[0.00007505798,0.0000391613,0.0002064713,0.000563022,0.0000318967,0.0001775329,0.00001762001,0.0001126604,4.514175e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000014151,"about_ca_system_score_gemma":0.00001694138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02250193,"about_ca_topic_score_gemma":0.2016826,"domain_scores_codex":[0.9982942,0.0005063995,0.000682217,0.0001574185,0.0002761003,0.00008361107],"domain_scores_gemma":[0.9989133,0.0001842515,0.0005019652,0.00004119894,0.0001817413,0.0001775288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008543262,0.0007741481,0.5056026,0.000004416126,0.003385646,0.0002308648,0.01964807,0.0004228278,0.466228,0.00001260912,0.00002961845,0.002806874],"study_design_scores_gemma":[0.0006006346,0.002579927,0.9660621,0.000002784747,0.00186056,0.00001622467,0.02535129,0.0007561257,0.002509385,0.00007873552,0.00005320174,0.0001289993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999382,0.00002177131,0.000008079743,0.0004082579,0.00004338619,0.00006270663,0.00006020792,0.00000633817,0.000007246741],"genre_scores_gemma":[0.9995896,0.000002464785,0.0000676188,0.000135329,0.0001740736,3.348431e-7,0.00001975746,4.393496e-7,0.00001044676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4637186,"threshold_uncertainty_score":0.9840073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180329356150671,"score_gpt":0.3110675248915984,"score_spread":0.1930345892765313,"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."}}