{"id":"W2796108139","doi":"10.1002/cjce.23220","title":"Monitoring Uneven Multistage/Multiphase Batch Processes using Trajectory‐Based Fuzzy Phase Partition and Hybrid MPCA Models","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Fuzzy logic; Computer science; Batch processing; Trajectory; Partition (number theory); Process (computing); Cluster analysis; Fuzzy clustering; Data mining; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001894784,0.0001688812,0.0002129019,0.0001467725,0.0001009583,0.00009668041,0.0001431427,0.00006327383,0.000007610121],"category_scores_gemma":[0.0001036038,0.0001475241,0.00005563124,0.0001771527,0.00005870319,0.0002218015,0.000004136832,0.0002721116,0.000001292137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347603,"about_ca_system_score_gemma":0.0001720955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004864027,"about_ca_topic_score_gemma":0.0001440732,"domain_scores_codex":[0.999102,0.00001330563,0.0003279774,0.00009487823,0.0001526752,0.0003091627],"domain_scores_gemma":[0.9992167,0.00006154597,0.00006324742,0.0001120715,0.0001420213,0.0004043659],"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":[0.00003161894,0.00001055633,0.00003343023,0.0001731796,0.00007044863,0.00004797703,0.0004266851,0.5547203,0.4421934,0.000009125893,0.00003915949,0.002244143],"study_design_scores_gemma":[0.0008730944,0.00003230052,0.000004679236,0.0001966488,0.00002937258,0.0001236442,0.00002427382,0.723794,0.2744944,0.00002449703,0.0002623345,0.0001407286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763936,0.0009362933,0.02184607,0.00004320775,0.0005637574,0.0001022254,0.00001414245,0.00005857438,0.00004215575],"genre_scores_gemma":[0.9983151,0.000004035245,0.0009221461,0.00001251028,0.0006972525,0.000005190161,8.392813e-7,0.00003957243,0.000003352103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1690737,"threshold_uncertainty_score":0.601586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030344373134425,"score_gpt":0.2342610751339478,"score_spread":0.2139576314026035,"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."}}