{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001768417,0.0002933306,0.0002462631,0.000336018,0.0005108909,0.0004940293,0.000586357,0.0006159974,0.01146022],"category_scores_gemma":[0.000376947,0.0001302653,0.0001777375,0.000169535,0.0001356559,0.0008081002,0.0004631803,0.0004711665,0.002034383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935305,"about_ca_system_score_gemma":0.000314194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006007889,"about_ca_topic_score_gemma":0.0009639675,"domain_scores_codex":[0.9998537,0.00002633327,0.00001204834,0.00002509908,0.00006032192,0.00002250811],"domain_scores_gemma":[0.9998197,0.00003504271,0.00001993093,0.00003029431,0.00006414278,0.00003098289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007682097,0.0004873148,0.01114333,0.0006373787,0.00006530953,0.002759615,0.001704177,0.009501797,0.2399089,0.01061987,0.05808507,0.6643191],"study_design_scores_gemma":[0.0002561028,0.002570475,0.0318465,0.0003365728,0.0002429742,0.007794492,0.00156773,0.24424,0.1846937,0.006907721,0.5192472,0.0002965086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1886884,0.001361289,0.739328,0.002064029,0.001197534,0.0009888273,0.0009284758,0.01878998,0.04665342],"genre_scores_gemma":[0.7738947,0.0008789648,0.1855906,0.0008194334,0.0004059506,0.0005178801,0.001114697,0.0002116891,0.03656616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01146022,"threshold_uncertainty_score":0.03833824,"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."}}