{"id":"W2092643274","doi":"10.1109/tsmc.2014.2336831","title":"A Socio-Physical Approach to Systemic Risk Reduction in Emergency Response and Preparedness","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of New Brunswick","funders":"","keywords":"Preparedness; Identification (biology); Risk analysis (engineering); Reduction (mathematics); Isolation (microbiology); Emergency response; Systemic risk; Computer science; Emergency management; Psychology; Medicine; Medical emergency; Mathematics; Political science","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":[0.004020832,0.001687387,0.0009291154,0.002726757,0.001870979,0.004196342,0.003241942,0.002704685,0.004290837],"category_scores_gemma":[0.005737584,0.0007796316,0.00119645,0.001098523,0.008372663,0.005068838,0.005679632,0.002690213,0.0005128253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003005897,"about_ca_system_score_gemma":0.003232275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002047268,"about_ca_topic_score_gemma":0.002406354,"domain_scores_codex":[0.994628,0.003023688,0.0001289712,0.0004755723,0.001542954,0.0002008089],"domain_scores_gemma":[0.995777,0.002485299,0.0006228073,0.0004350662,0.0004696278,0.0002101163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003487166,0.0001985098,0.001518555,0.0004314053,0.0001222865,0.0003292153,0.001182428,0.1817968,0.002394599,0.7823977,0.001333161,0.02826043],"study_design_scores_gemma":[0.0000368668,0.0002513925,0.001835145,0.0002661545,0.00008344604,0.000337138,0.002172295,0.2871177,0.00129781,0.6838864,0.02260291,0.0001127113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008753017,0.0008850638,0.9545236,0.004903027,0.0002101118,0.0001827875,0.00004921823,0.00006740652,0.03042579],"genre_scores_gemma":[0.6839377,0.001917391,0.3031001,0.0007320559,0.0005328309,0.000755354,0.00005587179,0.00006968957,0.008899176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004290837,"threshold_uncertainty_score":0.0218094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05773982457315904,"score_gpt":0.3306172423290513,"score_spread":0.2728774177558922,"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."}}