{"id":"W3130277654","doi":"10.20944/preprints202102.0367.v1","title":"An Emergency Management Doctrine","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Armed Forces","keywords":"Emergency management; Doctrine; Process management; Preparedness; Agency (philosophy); Risk analysis (engineering); CLARITY; Process (computing); Business; Risk management; Identification (biology); Operations management; Computer science; Engineering; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001252873,0.0003350227,0.00035095,0.0001957725,0.000436166,0.0001370204,0.001977725,0.0002527956,0.01280911],"category_scores_gemma":[0.00007016384,0.0003653858,0.0002485916,0.000404917,0.000201565,0.0003508843,0.003060075,0.0005026546,0.001310042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522037,"about_ca_system_score_gemma":0.0001225213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136517,"about_ca_topic_score_gemma":0.001038452,"domain_scores_codex":[0.9961699,0.0004210933,0.0005181615,0.001320807,0.0009355748,0.0006344806],"domain_scores_gemma":[0.9975978,0.00001497482,0.0002569744,0.001685157,0.0001562354,0.000288831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003553418,0.001083951,0.8970739,0.0007130518,0.0004930857,0.0002587029,0.0308366,0.000878684,0.0005415172,0.04781453,0.001157964,0.01911251],"study_design_scores_gemma":[0.0003739792,0.00002030775,0.7781665,0.000280076,0.0002557118,6.899762e-7,0.02484873,0.00009466765,0.0006243555,0.008391536,0.1857196,0.001223776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5686638,0.0001349433,0.0002165623,0.0005591961,0.002047955,0.0006182806,0.000002728923,0.0002272149,0.4275293],"genre_scores_gemma":[0.9351464,0.00323682,0.0002995736,0.00009768549,0.0004750982,0.0001650114,0.00005166871,0.00002813617,0.06049962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3670297,"threshold_uncertainty_score":0.9998798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156292084806455,"score_gpt":0.4063743455942846,"score_spread":0.2907451371136391,"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."}}