{"id":"W2368179261","doi":"","title":"Scientific Research Method of Artificial Aging of Liquor","year":2013,"lang":"en","type":"article","venue":"","topic":"Extenics and Innovation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Selection (genetic algorithm); Computer science; Accelerated aging; Biochemical engineering; Artificial intelligence; Engineering; Reliability 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005868417,0.0007220821,0.000611551,0.004136018,0.0008061657,0.001785114,0.001030732,0.0006116031,0.002421005],"category_scores_gemma":[0.006405235,0.0001890563,0.0006642751,0.002974038,0.001276701,0.003042882,0.001190026,0.000609707,0.0005283477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444635,"about_ca_system_score_gemma":0.002562127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530856,"about_ca_topic_score_gemma":0.001327475,"domain_scores_codex":[0.9965819,0.00113646,0.0003485156,0.0005074364,0.001346251,0.00007948231],"domain_scores_gemma":[0.9956862,0.0009472498,0.0004824629,0.0005190495,0.00222224,0.0001429032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002942897,0.0002219099,0.01302275,0.003485864,0.0002008068,0.0001687078,0.001983897,0.008106567,0.0452069,0.0961394,0.005255781,0.8259131],"study_design_scores_gemma":[0.0002575313,0.002626519,0.04911622,0.002116278,0.001226168,0.001487477,0.003639511,0.1671836,0.2708796,0.1669584,0.3339577,0.0005510031],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08084896,0.01682307,0.8584164,0.001998496,0.001085957,0.0007535437,0.0005295198,0.0007676539,0.03877641],"genre_scores_gemma":[0.4728975,0.01687726,0.4903921,0.0004916421,0.0005001584,0.001082853,0.0004296179,0.0001405614,0.01718831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005868417,"threshold_uncertainty_score":0.03103554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179086902000442,"score_gpt":0.4264128259272747,"score_spread":0.3085041357272305,"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."}}