{"id":"W1994063416","doi":"10.3182/20131218-3-in-2045.00158","title":"Alarm allocation for event-based process alarm systems","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"ALARM; Event (particle physics); Key (lock); Flexibility (engineering); Variable (mathematics); Process (computing); Variables; Data mining; Computer science; Statistics; Mathematics; Engineering; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088207,0.0006451851,0.0008245363,0.0006503645,0.000655852,0.001438489,0.00128515,0.0004898732,0.004388858],"category_scores_gemma":[0.003087205,0.000272911,0.0002671174,0.0004436338,0.0003614994,0.00093522,0.0008799143,0.0006438696,0.0005343304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006295845,"about_ca_system_score_gemma":0.0007460802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424182,"about_ca_topic_score_gemma":0.001801858,"domain_scores_codex":[0.9988896,0.0002866514,0.0001032457,0.0002016602,0.0002798883,0.0002390222],"domain_scores_gemma":[0.9986846,0.0005576061,0.0001091616,0.0001782425,0.0003890313,0.00008129559],"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":[0.003051844,0.0004729795,0.002097252,0.0002211098,0.0001072163,0.0002351487,0.0002766913,0.4842001,0.03853677,0.02428139,0.005599126,0.4409204],"study_design_scores_gemma":[0.00004425062,0.0001545656,0.0006401172,0.000007990336,0.0000285604,0.00007573034,0.00003213562,0.9787329,0.01044962,0.008415265,0.001404149,0.00001471997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07125362,0.0002728238,0.9229122,0.0001489278,0.00009254097,0.0001094825,0.00008585029,0.001727275,0.003397372],"genre_scores_gemma":[0.9394156,0.00008732464,0.05773677,0.00005820477,0.00004740225,0.00006161736,0.00008278697,0.00006148357,0.002448801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004388858,"threshold_uncertainty_score":0.01468223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006644399886862077,"score_gpt":0.2182110522559048,"score_spread":0.2115666523690427,"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."}}