{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00143836,0.0004319003,0.0003100939,0.0008766677,0.001067331,0.003178305,0.001254877,0.001221398,0.004938957],"category_scores_gemma":[0.002074798,0.0002442258,0.0004327398,0.0006497431,0.0008161355,0.005781225,0.003621136,0.001317905,0.001532281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266979,"about_ca_system_score_gemma":0.001503028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015898,"about_ca_topic_score_gemma":0.002013398,"domain_scores_codex":[0.9990637,0.0003386533,0.0000478946,0.0001635867,0.0002149435,0.0001712976],"domain_scores_gemma":[0.998978,0.0002114516,0.0001118691,0.0003288527,0.0002015677,0.0001682516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002738045,0.0002053151,0.0041218,0.0003446245,0.00004580037,0.0006280441,0.004657752,0.04841409,0.02053444,0.6987109,0.01900711,0.2030565],"study_design_scores_gemma":[0.00005752665,0.0003320108,0.003729454,0.0003635517,0.00006714754,0.0005650609,0.004424331,0.3791687,0.02213266,0.1733468,0.4156713,0.0001414594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07844857,0.000492062,0.8748863,0.003314521,0.0002796836,0.0002927961,0.0002413198,0.00487906,0.03716566],"genre_scores_gemma":[0.7402506,0.0006774176,0.2439896,0.0005218224,0.0001343949,0.0003015434,0.0004961001,0.0003498032,0.01327863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004938957,"threshold_uncertainty_score":0.01652247,"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."}}