{"id":"W2371442902","doi":"","title":"Research progress in artificial aging of brandy and Chinese liquor with physical methods","year":2014,"lang":"en","type":"article","venue":"Science and Technology of Food Industry","topic":"Color perception and design","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Biochemical engineering; Process engineering; Computer science; Pulp and paper industry; Environmental science; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002115455,0.0000687772,0.0001906834,0.000785046,0.00008938437,0.0000109791,0.0002082512,0.0002536376,0.00001729509],"category_scores_gemma":[0.000170303,0.00005069545,0.000007758498,0.002138215,0.004893086,0.00007569239,0.0001001571,0.0006329528,0.000001131699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000871001,"about_ca_system_score_gemma":0.00007926518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001186235,"about_ca_topic_score_gemma":0.00001900163,"domain_scores_codex":[0.9989809,0.0001199911,0.0001408126,0.0002982888,0.0002089326,0.000251122],"domain_scores_gemma":[0.9994116,0.000103343,0.00005464966,0.0002217873,0.000163208,0.00004536842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001370688,0.0003755359,0.2093704,0.00002824468,0.0000128126,0.000003585882,0.00255467,5.627232e-7,0.07313758,0.04234938,0.00003808157,0.6719921],"study_design_scores_gemma":[0.00231488,0.008944032,0.8025541,0.0001936492,0.00001933836,0.0001227691,0.01535206,0.0008119481,0.1197939,0.04921779,0.0002885487,0.000386992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968729,0.00008891233,0.0001050357,0.001352049,0.00003772338,0.0001376733,8.382158e-7,0.00002316076,0.001381685],"genre_scores_gemma":[0.9983104,0.00000123042,0.001602808,0.00001338882,0.00002163195,0.00002090521,9.615663e-8,0.000003747238,0.00002578464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6716051,"threshold_uncertainty_score":0.997815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06780168362343097,"score_gpt":0.4696000587878945,"score_spread":0.4017983751644635,"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."}}