{"id":"W4414805079","doi":"10.1016/bs.mcps.2025.08.003","title":"Automated fusion and labelling of process data","year":2025,"lang":"en","type":"book-chapter","venue":"Methods in chemical process safety","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Imperial Oil (Canada); Memorial University of Newfoundland","funders":"","keywords":"Sensor fusion; Process (computing); Workflow; Aggregate (composite); Information extraction; Data type; Data extraction; Data processing; Data modeling","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000648376,0.0003167973,0.0007219685,0.0001644903,0.00002543963,0.00001456764,0.0004447395,0.0005437341,0.0000386176],"category_scores_gemma":[0.0002137393,0.0003118502,0.00004302406,0.0001373082,0.00006637501,0.00008477224,0.0001382946,0.0005864206,0.00000150541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006440025,"about_ca_system_score_gemma":0.0000528495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006361712,"about_ca_topic_score_gemma":0.000003823805,"domain_scores_codex":[0.998352,0.00003558343,0.0007445797,0.0004692542,0.0002029748,0.0001956205],"domain_scores_gemma":[0.9989459,0.0002937879,0.0001312878,0.0004817144,0.00008535475,0.00006199224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005663117,0.00009728959,0.00005313321,0.04502972,0.0006306919,0.00002595103,0.001051707,0.01034031,0.08592938,0.003002442,0.001277259,0.8519958],"study_design_scores_gemma":[0.0007706324,0.00001258857,0.000001929738,0.002259228,0.00008910957,0.000009195105,0.00004068773,0.9342417,0.02889503,0.007126454,0.02603212,0.0005213743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0005242752,0.01354878,0.07652032,0.00008668766,0.001079693,0.001399102,0.0004400189,0.002419077,0.903982],"genre_scores_gemma":[0.388604,0.009196274,0.5056313,0.0003852288,0.001797898,0.0004039844,0.001923651,0.001276429,0.09078129],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9239013,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230484324173936,"score_gpt":0.3594623012644632,"score_spread":0.3271574580227238,"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."}}