{"id":"W2090322550","doi":"10.1007/s00779-009-0230-y","title":"Special issue on “Intelligent systems and services for ubiquitous computing”","year":2009,"lang":"en","type":"article","venue":"Personal and Ubiquitous Computing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Ubiquitous computing; Context-aware pervasive systems; Mobile computing; Middleware (distributed applications); Intelligent Network; Intelligent transportation system; Distributed computing; Smart environment; End-user computing; Intelligent decision support system; Computer network; Cloud computing; Computer security; Utility computing; Internet of Things; Human–computer interaction; Artificial intelligence; Cloud computing security","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005011285,0.0003587164,0.00047136,0.0001157917,0.0006725249,0.0006109774,0.0004358379,0.000138945,0.000005698677],"category_scores_gemma":[0.000004394328,0.0003234908,0.00009401831,0.0001691103,0.00006891071,0.0001520677,0.0002156741,0.0002410506,0.0000121804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003976128,"about_ca_system_score_gemma":0.00004590259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004184559,"about_ca_topic_score_gemma":0.00000416786,"domain_scores_codex":[0.9976727,0.00006673196,0.0004512199,0.0007889728,0.0003658272,0.0006545202],"domain_scores_gemma":[0.9987451,0.0003956966,0.0002060782,0.000235582,0.0001203831,0.0002971936],"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":[0.00007629638,0.0001394472,0.0002311635,0.0002175752,0.00004329066,0.0000614217,0.005339424,0.000635396,0.00003716475,0.01433147,0.007247999,0.9716393],"study_design_scores_gemma":[0.0005048508,0.0007132847,0.0005968607,0.0002742134,0.00002153042,0.0001924031,0.0004854731,0.9566049,0.00002291781,0.0006246256,0.03955197,0.0004069658],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1848976,0.002056397,0.7882777,0.003054116,0.006197524,0.001211162,0.00002513227,0.0005690645,0.01371129],"genre_scores_gemma":[0.9752228,0.00007825928,0.005504768,0.002064272,0.01677946,0.000002679109,0.00001075283,0.00001801306,0.0003189879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9712324,"threshold_uncertainty_score":0.9999217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003653150042227,"score_gpt":0.2577160376217111,"score_spread":0.2376795061212889,"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."}}