{"id":"W2107781598","doi":"10.1109/wimob.2005.1512963","title":"A mobile, visual scripting environment for monitoring and controlling wireless devices","year":2006,"lang":"en","type":"article","venue":"","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"","keywords":"Scripting language; Computer science; Bluetooth; Mobile device; Wireless; Dataflow; Visual language; Visual programming language; Event (particle physics); Embedded system; Human–computer interaction; Programming language; Multimedia; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0002270202,0.0001288612,0.0001548956,0.00005028891,0.0002299631,0.0002919977,0.0002303636,0.00003574917,0.000001773252],"category_scores_gemma":[0.000003797691,0.0001131516,0.00004108062,0.00006120189,0.0000180456,0.0002998394,0.0001754871,0.00005300943,0.00000320709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002670424,"about_ca_system_score_gemma":0.000008672949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001701202,"about_ca_topic_score_gemma":0.000003826562,"domain_scores_codex":[0.9989616,0.00001471513,0.0002183167,0.0003508507,0.0001427626,0.0003117512],"domain_scores_gemma":[0.9995845,0.0001259989,0.0000699014,0.000147755,0.0000189132,0.00005291322],"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":[0.00002794325,0.0002533868,0.1469505,0.0001466613,0.00007824304,0.00001898811,0.001576158,0.02206884,0.03868752,0.02807978,0.0001586653,0.7619533],"study_design_scores_gemma":[0.0009631647,0.0001610986,0.01207159,0.00006065308,0.00001185815,0.00000937352,0.0002153988,0.9698681,0.01094105,0.00047283,0.004902515,0.0003223609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4641902,0.0004556116,0.5345789,0.00002804007,0.0001860691,0.0001608502,2.498556e-7,0.000102259,0.0002977886],"genre_scores_gemma":[0.8962081,0.00001083239,0.1032762,0.00003675657,0.0003139613,0.00003995317,5.333273e-7,0.000009532937,0.0001041221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9477993,"threshold_uncertainty_score":0.4614188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277775125878653,"score_gpt":0.2436379903711383,"score_spread":0.2308602391123518,"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."}}