{"id":"W4251224258","doi":"10.1002/cjce.22973","title":"Issue Highlights","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Divergence (linguistics); Principal component analysis; Fault (geology); Computer science; Key (lock); Multivariate statistics; Fault detection and isolation; Zhàng; Field (mathematics); Artificial intelligence; Data mining; Pattern recognition (psychology); Mathematics; Machine learning; Linguistics; Law; Computer security; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003047371,0.001098073,0.0007853979,0.001920402,0.001935103,0.007328854,0.002566158,0.006266202,0.2889594],"category_scores_gemma":[0.01371332,0.0004065107,0.001065367,0.001420868,0.0007451994,0.003253229,0.002029056,0.004708151,0.1310178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003131002,"about_ca_system_score_gemma":0.008163843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005485368,"about_ca_topic_score_gemma":0.01013881,"domain_scores_codex":[0.9972327,0.00021248,0.0001521696,0.0003176597,0.001658454,0.0004265041],"domain_scores_gemma":[0.9860016,0.0009434931,0.0005443252,0.0004789441,0.008179007,0.003852507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000142445,0.000007695912,0.0000412794,0.00007892708,0.000002015037,0.00002934515,0.000005972704,0.000008893959,0.00004867001,0.0005895068,0.9878494,0.011324],"study_design_scores_gemma":[0.000007603832,0.000008674851,0.0002223136,0.00008216471,0.000002939688,0.00006321826,0.00001775822,0.00001280644,0.00006678943,0.0004145597,0.9990977,0.000003496764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005024932,0.01196955,0.0007449656,0.208243,0.6133835,0.0003274557,0.004016659,0.000639795,0.1601725],"genre_scores_gemma":[0.006230723,0.01929505,0.0009097182,0.1194195,0.3846271,0.0002430041,0.004892613,0.0005942988,0.463788],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7110406,"threshold_uncertainty_score":0.9666653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004280620288298309,"score_gpt":0.1725804347220509,"score_spread":0.1682998144337526,"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."}}