{"id":"W4394568483","doi":"10.3390/s24072366","title":"Next Generation Computing and Communication Hub for First Responders in Smart Cities","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale","keywords":"Workload; Computer science; Standardization; Interoperability; Cognitive computing; Cognition; Computer security; Medicine; World Wide Web","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":[0.0002981442,0.00005760373,0.00007354413,0.00009713969,0.0002083146,0.0001128467,0.0001068038,0.00003792796,0.000001004793],"category_scores_gemma":[0.00005101484,0.00005605926,0.00001819589,0.0001358151,0.00006412883,0.0001579434,0.00007539798,0.00007027385,0.000005272117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001391664,"about_ca_system_score_gemma":0.00001317409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005110327,"about_ca_topic_score_gemma":0.0002751299,"domain_scores_codex":[0.9995077,0.00005937284,0.0001076406,0.0001661819,0.00004318801,0.0001159012],"domain_scores_gemma":[0.9994326,0.0003632852,0.00001561942,0.0001549161,0.00002028835,0.00001330709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006960586,0.00005991652,0.01576531,0.0003782189,0.0001740009,0.00005325693,0.1241809,0.01793449,0.0009192627,0.5631914,0.01793389,0.2593398],"study_design_scores_gemma":[0.0001835832,0.0000579989,0.0138456,0.00005773185,0.0000042842,0.00001424945,0.0008707909,0.9684401,0.0002300458,0.005466041,0.01071244,0.0001171638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752256,0.002158523,0.01560454,0.006217673,0.0002805336,0.0001149403,8.792066e-7,0.00008576993,0.0003115611],"genre_scores_gemma":[0.9907761,0.0001419027,0.008598614,0.0002408636,0.00004076073,0.00000517748,0.000003647352,0.000003680791,0.0001892634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9505056,"threshold_uncertainty_score":0.228603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05989695689202528,"score_gpt":0.2827937469701239,"score_spread":0.2228967900780986,"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."}}