{"id":"W2537277205","doi":"10.1016/j.psep.2016.10.012","title":"A risk-based methodology for optimum placement of flammable gas detectors within open process plants","year":2016,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Public Health Agency of Canada","keywords":"Flammable liquid; Grid; Reduction (mathematics); Set (abstract data type); Computer science; Process (computing); Mathematical optimization; Risk management; Data mining; Reliability engineering; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002378004,0.001537807,0.001609094,0.001944939,0.0006927081,0.001728474,0.001974475,0.00216777,0.002233874],"category_scores_gemma":[0.006809498,0.001428912,0.001290817,0.0009680346,0.0009797347,0.001342427,0.001384373,0.001126951,0.0002964595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143133,"about_ca_system_score_gemma":0.002664622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007700827,"about_ca_topic_score_gemma":0.006870318,"domain_scores_codex":[0.9988683,0.0003623235,0.00006121525,0.0001863581,0.0003922927,0.000129445],"domain_scores_gemma":[0.9970643,0.001841972,0.0003376251,0.00008392607,0.0005908449,0.00008124106],"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":[0.00004884786,0.00004378435,0.0002595987,0.00006151443,0.00002334341,0.00003557531,0.00003597284,0.9735946,0.002889078,0.002164625,0.0001497454,0.02069326],"study_design_scores_gemma":[0.000007719993,0.00003804773,0.00009507249,0.000007002424,0.000008942769,0.00001103408,0.000009690782,0.9971783,0.001166474,0.001329864,0.0001412816,0.000006593418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01020743,0.00008920117,0.9885656,0.00006103388,0.00001180471,0.00007881215,0.0000298599,0.0001770362,0.000779252],"genre_scores_gemma":[0.3812226,0.0001722881,0.6165091,0.000064818,0.00003247708,0.0002826906,0.0001104961,0.00008017224,0.001525264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007700827,"threshold_uncertainty_score":0.01554954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09863798975162771,"score_gpt":0.3536555600412634,"score_spread":0.2550175702896357,"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."}}