{"id":"W4365149956","doi":"10.1002/cjce.24913","title":"Hierarchical‐linked batch‐to‐batch optimization based on transfer learning of synthesis process","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central University Basic Research Fund of China; Six Talent Peaks Project in Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Batch processing; Process (computing); Process optimization; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007707304,0.0007968544,0.001040832,0.0004868938,0.0004971881,0.0007001444,0.001184039,0.000951717,0.001958612],"category_scores_gemma":[0.001325572,0.0004494386,0.0008894217,0.0005333676,0.0006793205,0.001085954,0.001005165,0.0008284138,0.0002605168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212596,"about_ca_system_score_gemma":0.001584746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006439982,"about_ca_topic_score_gemma":0.003885291,"domain_scores_codex":[0.9995708,0.00009627666,0.00002352926,0.0001133633,0.0001386616,0.00005739055],"domain_scores_gemma":[0.9995694,0.0002197091,0.00006249968,0.00003463404,0.00009187384,0.00002191168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003204068,0.00004801068,0.0002142965,0.00003548999,0.00001595664,0.00001658891,0.0000171092,0.9813833,0.002663409,0.001339431,0.0001281685,0.01410624],"study_design_scores_gemma":[0.000001706709,0.000006970531,0.00001976055,4.627983e-7,0.000001073015,8.003693e-7,7.000185e-7,0.9994416,0.000318329,0.0001830335,0.00002425976,0.000001288869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05170782,0.0001807813,0.9440885,0.0001179278,0.00003022147,0.00008627312,0.00002952151,0.0004428038,0.003316163],"genre_scores_gemma":[0.8830425,0.0001010814,0.1140814,0.00007233651,0.00002422212,0.0002276327,0.00007876819,0.00005887802,0.002313114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006439982,"threshold_uncertainty_score":0.01280499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00770048382121034,"score_gpt":0.1945431244080757,"score_spread":0.1868426405868654,"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."}}