{"id":"W2132168989","doi":"10.1145/2047196.2047238","title":"The proximity toolkit","year":2011,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":273,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proxemics; Human–computer interaction; Computer science; Ubiquitous computing; Orientation (vector space); Key (lock); Computer security; Mathematics","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":[0.0003480535,0.00005866533,0.00005999833,0.00001901852,0.0001610583,0.0001377973,0.0007110091,0.00002356674,0.00004901518],"category_scores_gemma":[0.00004386494,0.00003513185,0.0000407367,0.000141348,0.00002393234,0.0006331571,0.0001852076,0.00006343648,0.0006023113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001422034,"about_ca_system_score_gemma":0.00003428672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001154706,"about_ca_topic_score_gemma":0.0001303835,"domain_scores_codex":[0.9993447,0.00006588597,0.0001167071,0.000173297,0.0001445141,0.0001548756],"domain_scores_gemma":[0.9992254,0.000104645,0.00004329984,0.0005050563,0.00007561003,0.00004602929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005890141,0.0000784845,0.002779712,0.000004022342,0.00002535568,0.00000754646,0.001472658,3.569974e-8,0.0001524683,0.2014568,0.007916881,0.7861001],"study_design_scores_gemma":[0.001612132,0.0005014366,0.1338862,0.00006016466,0.00002064182,0.0004180506,0.001311807,0.01985258,0.06169749,0.1415199,0.6375006,0.001619064],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007258612,0.00003543357,0.7280161,0.001133598,0.0006278168,0.0002422436,4.288012e-7,0.0003759937,0.2623098],"genre_scores_gemma":[0.9917262,0.000002282412,0.003814338,0.0002394522,0.00003135706,0.0000280226,8.411739e-8,0.000002883159,0.004155405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9844676,"threshold_uncertainty_score":0.7741695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06882306333130098,"score_gpt":0.230261115992285,"score_spread":0.161438052660984,"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."}}