{"id":"W3025810424","doi":"10.33832/ijdrbc.2019.10.03","title":"Telepresence Emergency Triage System for Extreme Environments and Disaster Response","year":2019,"lang":"en","type":"article","venue":"International journal of disaster recovery and business continuity","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Triage; Disaster response; Emergency response; Medical emergency; Emergency management; Disaster planning; Aeronautics; Engineering; Medicine; Poison control; Human factors and ergonomics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005680904,0.0001755359,0.0003208096,0.0001614874,0.00002782842,0.00009728086,0.000222576,0.00007390662,0.00004144687],"category_scores_gemma":[0.00009308093,0.0001500297,0.00009534509,0.00006558158,0.00003094656,0.0007032591,0.00006280738,0.0001084589,0.00001116581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008892242,"about_ca_system_score_gemma":0.00001582689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005128886,"about_ca_topic_score_gemma":0.000006489962,"domain_scores_codex":[0.9986948,0.0000772542,0.0005819561,0.0001649957,0.0003134904,0.0001674787],"domain_scores_gemma":[0.9992172,0.0001840722,0.000238248,0.0001347511,0.0001507572,0.00007501165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02609503,0.0005060488,0.4961302,0.002779247,0.002742285,0.0002799435,0.006206815,0.006566186,0.3361153,0.0005936437,0.003422379,0.1185629],"study_design_scores_gemma":[0.02108738,0.0009500192,0.8429696,0.003873615,0.0003440143,0.001858901,0.004750303,0.01271214,0.008468377,0.0007103702,0.1001759,0.002099376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815763,0.0004472242,0.01255751,0.00007475039,0.004724648,0.0002564225,0.00006356856,0.00001573914,0.000283804],"genre_scores_gemma":[0.9984388,0.0000901855,0.0001363845,0.00001196902,0.0003800654,0.00000854202,0.000005281709,0.00002412417,0.0009046555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3468394,"threshold_uncertainty_score":0.6118035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004979746225989,"score_gpt":0.2137498161255107,"score_spread":0.2037000186632509,"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."}}