{"id":"W4410905594","doi":"10.64026/jccn/2025004","title":"Real Time Data and Decisions in Aarhus and Surrey Smart","year":2025,"lang":"en","type":"article","venue":"Journal of Computer and Communication Networks","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009123572,0.000412676,0.0005000658,0.0007807747,0.0008139248,0.002282253,0.0005301491,0.0004506976,0.00171111],"category_scores_gemma":[0.003608882,0.0003129862,0.000296731,0.001948943,0.0008358008,0.001156735,0.0009987986,0.0003553419,0.0006983122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004724511,"about_ca_system_score_gemma":0.003376133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5991119,"about_ca_topic_score_gemma":0.5753248,"domain_scores_codex":[0.9981572,0.0002852241,0.0001314633,0.0006485356,0.0005251648,0.0002523174],"domain_scores_gemma":[0.9982567,0.0004672601,0.0001531648,0.0002809581,0.0005246472,0.0003172162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00418038,0.0006916196,0.3393903,0.000956722,0.0005859757,0.00394035,0.009069787,0.3134978,0.0239328,0.01645506,0.04222083,0.2450784],"study_design_scores_gemma":[0.00008381835,0.0002131684,0.5329049,0.0001356013,0.0001073786,0.0003849501,0.01056726,0.3819495,0.01438848,0.005074289,0.05397093,0.0002196584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686458,0.0008647213,0.00762768,0.0006254863,0.0001011248,0.0001410979,0.008362217,0.0008422295,0.01278962],"genre_scores_gemma":[0.9841458,0.0002298449,0.006942504,0.00006187567,0.000009508236,0.00003572397,0.005252847,0.00004632629,0.003275563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5991119,"threshold_uncertainty_score":0.806498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044471934264363,"score_gpt":0.2922713113163105,"score_spread":0.2618265919736668,"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."}}