{"id":"W2907214697","doi":"10.1109/icarcv.2018.8581102","title":"Bluetooth Low Energy Based Activity Tracking of Patient","year":2018,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Mitacs; Simon Fraser University","keywords":"Bluetooth Low Energy; RSS; Computer science; Bluetooth; Wearable computer; Network packet; Energy (signal processing); Noise (video); SIGNAL (programming language); Scanner; Quality (philosophy); Real-time computing; Embedded system; Artificial intelligence; Computer network; Wireless; Telecommunications","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":[0.00002306157,0.00006761991,0.00008518897,0.00007213041,0.00002249569,0.00000724935,0.00007085173,0.00006390778,0.0001761256],"category_scores_gemma":[0.00001879311,0.00005951084,0.00002926844,0.0001457953,0.00005257032,0.00006071891,0.00001213734,0.00003301951,0.000006569407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000204415,"about_ca_system_score_gemma":0.000007628516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002953782,"about_ca_topic_score_gemma":0.00004064502,"domain_scores_codex":[0.9996374,0.0000058174,0.00009616635,0.00006841141,0.0000803472,0.000111902],"domain_scores_gemma":[0.9997535,0.00001793383,0.00001778752,0.0001477804,0.00004786273,0.00001517192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004729933,0.0001951368,0.002485804,0.0002097795,0.00007766297,0.000005593872,0.0005962465,0.04763558,0.1554729,0.02403612,0.005016779,0.7642211],"study_design_scores_gemma":[0.00008996693,0.00004597475,0.0002796968,0.00001040908,0.000002199449,2.161389e-7,0.00003268813,0.1054105,0.8919935,0.0001113574,0.001953479,0.00007001169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5512806,0.00001917522,0.4321249,0.00001910873,0.0002037525,0.00003587965,0.00000302155,0.0007292273,0.01558434],"genre_scores_gemma":[0.9990684,0.000003484435,0.0008196406,0.00004282285,0.00002077072,0.000003267104,0.000001202057,0.0000118335,0.00002853587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7641511,"threshold_uncertainty_score":0.2426782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00618998339988572,"score_gpt":0.1917200188779623,"score_spread":0.1855300354780766,"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."}}