{"id":"W3190452456","doi":"","title":"Fire Protection Integrity and Optimization","year":2015,"lang":"en","type":"article","venue":"OakTrust (Texas A&M University Libraries)","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer security; Computer science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002261,0.0008763933,0.0009508025,0.0008022858,0.000803069,0.00276544,0.00119646,0.001099134,0.004977077],"category_scores_gemma":[0.005863498,0.0006007462,0.0007222432,0.0004509685,0.001489627,0.002321185,0.001559994,0.001345759,0.001243655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551104,"about_ca_system_score_gemma":0.002061844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208723,"about_ca_topic_score_gemma":0.001335981,"domain_scores_codex":[0.9976625,0.0005286938,0.0001129484,0.0003311834,0.001017545,0.0003470587],"domain_scores_gemma":[0.9980119,0.000648657,0.0003713816,0.0004007627,0.0005034446,0.00006368019],"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":[0.0001002568,0.00007026121,0.001506518,0.0001316821,0.00003729147,0.00006113499,0.0001053192,0.8467196,0.01238235,0.07340201,0.001463684,0.0640199],"study_design_scores_gemma":[0.00002541672,0.0002694201,0.001916801,0.0001161805,0.0000473572,0.0001702613,0.0001777665,0.8774439,0.02374537,0.07387409,0.02216485,0.00004863018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04028491,0.0007887561,0.88773,0.0009702583,0.00008020797,0.0001016091,0.0002135314,0.0004942155,0.06933649],"genre_scores_gemma":[0.884828,0.000953233,0.09727257,0.0002124345,0.00005692484,0.0001485685,0.0002528884,0.0004819623,0.01579329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004977077,"threshold_uncertainty_score":0.01664996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996127230448855,"score_gpt":0.1749887500526065,"score_spread":0.1550274777481179,"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."}}