{"id":"W4389150268","doi":"10.1002/cjce.25151","title":"Probabilistic stationary subspace regression model for soft sensing of nonstationary industrial processes","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Probabilistic logic; Subspace topology; Process (computing); Soft sensor; Computer science; Engineering; Artificial intelligence","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":[0.0002268229,0.00009289931,0.0001622049,0.0001637618,0.00004347283,0.0000195603,0.0001066652,0.00007410403,0.000002081457],"category_scores_gemma":[0.0006092573,0.00007356633,0.00005585942,0.0003097392,0.00002598852,0.00008102653,0.000003681195,0.0001815639,8.605135e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121355,"about_ca_system_score_gemma":0.0004106146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005227813,"about_ca_topic_score_gemma":0.00009569438,"domain_scores_codex":[0.9993144,0.0000068525,0.000302222,0.00005236501,0.0001425271,0.0001815948],"domain_scores_gemma":[0.9992883,0.0002412945,0.00007227239,0.0000690847,0.0001805709,0.0001484776],"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":[0.00001468061,0.000001164946,0.000005562484,0.0001518769,0.00003225927,0.000004230544,0.00040588,0.9717405,0.02545473,0.00005791732,0.001118412,0.001012778],"study_design_scores_gemma":[0.0003260309,0.00001198843,0.000005024138,0.0001863208,0.00001809485,0.00003253682,0.00005038803,0.9890768,0.009668001,0.0002434567,0.0003020798,0.0000792905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529897,0.0004546662,0.04442022,0.0006273136,0.0008484207,0.0004061805,0.00007247762,0.0001189527,0.00006205744],"genre_scores_gemma":[0.9992768,0.000001950253,0.0004464416,0.000006816607,0.0002038414,0.000005415612,0.000006263574,0.00002488327,0.0000276138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04628706,"threshold_uncertainty_score":0.2999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238115322785203,"score_gpt":0.2180905102967497,"score_spread":0.1942789780182294,"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."}}