{"id":"W4391995855","doi":"10.1021/acs.iecr.3c03077","title":"Shape-Based Pattern Recognition Approaches toward Oscillation Detection","year":2024,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pattern recognition (psychology); Computer science; Oscillation (cell signaling); Artificial intelligence; Speech recognition; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006540318,0.0009154118,0.0008539485,0.002242748,0.000312903,0.001022138,0.0013815,0.0009570245,0.001412225],"category_scores_gemma":[0.002663325,0.0003598704,0.0008974223,0.001718093,0.0006999943,0.0009707655,0.001026271,0.001092046,0.0007733083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238341,"about_ca_system_score_gemma":0.0006450072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310729,"about_ca_topic_score_gemma":0.002875258,"domain_scores_codex":[0.9993931,0.00007289031,0.00005559272,0.0001958254,0.0002184253,0.00006418344],"domain_scores_gemma":[0.998539,0.0004539189,0.000221206,0.000234318,0.000494784,0.00005685282],"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":[0.0001549639,0.0001260252,0.003806685,0.0001383942,0.00007627683,0.0001642848,0.0001473069,0.1164121,0.03370716,0.005493297,0.002225392,0.837548],"study_design_scores_gemma":[0.000008455875,0.0000543385,0.001711188,0.00001248707,0.0000135384,0.00009874448,0.00003681558,0.9841743,0.007657165,0.00470242,0.001514871,0.0000158344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0182208,0.0003019325,0.9787744,0.0001296705,0.00004766681,0.0000570793,0.00008551948,0.001024096,0.001358962],"genre_scores_gemma":[0.4891122,0.0005677807,0.5050701,0.0002947815,0.0001074774,0.0001624655,0.0005873122,0.000203967,0.003893959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003310729,"threshold_uncertainty_score":0.006582916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1742219784353042,"score_gpt":0.2938506720920236,"score_spread":0.1196286936567194,"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."}}