{"id":"W2164323312","doi":"10.3233/mis-130154","title":"Modelling Spatio-Temporal Relevancy in Urban Context-Aware Pervasive Systems Using Voronoi Continuous Range Query and Multi-Interval Algebra","year":2013,"lang":"en","type":"article","venue":"RMIT Research Repository (RMIT University Library)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Voronoi diagram; Interval (graph theory); Context (archaeology); Computer science; Ubiquitous computing; Range (aeronautics); Theoretical computer science; Mathematics; Geography; Human–computer interaction; Engineering; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001501452,0.000514467,0.0008729824,0.001133014,0.0004963275,0.002414083,0.001823504,0.0007474319,0.001157415],"category_scores_gemma":[0.005938355,0.0003405235,0.001102153,0.001810646,0.0008442726,0.003359904,0.001488452,0.0009193259,0.0002826023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150167,"about_ca_system_score_gemma":0.001130302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241333,"about_ca_topic_score_gemma":0.009453795,"domain_scores_codex":[0.9982725,0.0006136916,0.0001389097,0.0003376121,0.0005011395,0.0001361862],"domain_scores_gemma":[0.9977448,0.001357807,0.0002720832,0.0002573984,0.0002684944,0.00009943383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001568475,0.00007154772,0.003178095,0.0001080702,0.00005564453,0.0002628007,0.0003638224,0.8831546,0.003939036,0.07466347,0.0005350132,0.03351091],"study_design_scores_gemma":[0.000004312365,0.00001809918,0.0001517195,0.000003287486,0.000006627984,0.00004273445,0.00004659357,0.9901759,0.0004627074,0.008640288,0.0004412737,0.000006470484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04028631,0.0002561164,0.9577048,0.0001128116,0.00001834015,0.00005935463,0.0001443678,0.0002697529,0.001148122],"genre_scores_gemma":[0.7851949,0.0003545699,0.2128818,0.00004456369,0.00003762741,0.0001226207,0.0002904984,0.00004956498,0.001023939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01241333,"threshold_uncertainty_score":0.02468216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04570867605291263,"score_gpt":0.2419292051767561,"score_spread":0.1962205291238435,"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."}}