{"id":"W1998579474","doi":"10.1109/icacci.2014.6968205","title":"An intelligent medical monitoring system based on sensors and wireless sensor network","year":2014,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Wireless sensor network; Spare part; Android (operating system); Wireless; Vital signs; Health care; Remote patient monitoring; Embedded system; Computer network; Telecommunications; Engineering; Medicine; Operating system; Operations management","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":[0.0003616569,0.000510718,0.0007190686,0.0005263373,0.0003206985,0.0004842555,0.0008678322,0.0004664864,0.001717088],"category_scores_gemma":[0.0005124992,0.0002524733,0.0003190405,0.0003276733,0.0001559319,0.0006720658,0.0005835209,0.0003543223,0.0006672054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706034,"about_ca_system_score_gemma":0.0004497587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019117,"about_ca_topic_score_gemma":0.001160812,"domain_scores_codex":[0.9996067,0.00005468018,0.000043077,0.0001051296,0.0001594019,0.00003110049],"domain_scores_gemma":[0.9997064,0.00005415141,0.00003417013,0.00003843632,0.0001201191,0.00004655038],"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":[0.001693741,0.0007936888,0.01805731,0.001153332,0.0003424804,0.002260992,0.000558653,0.009049632,0.3867712,0.004454911,0.02388222,0.5509819],"study_design_scores_gemma":[0.0004669509,0.002983745,0.06528884,0.0003151594,0.00142976,0.009561781,0.0003003294,0.386569,0.3813858,0.004332006,0.1469587,0.0004078863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1856591,0.003972258,0.746574,0.0009275388,0.0009547346,0.001032752,0.001466244,0.03772041,0.02169288],"genre_scores_gemma":[0.7854218,0.001553473,0.1917561,0.000805798,0.0001866128,0.0004837631,0.001190756,0.0002062203,0.01839544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001717088,"threshold_uncertainty_score":0.005744219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052385611381197,"score_gpt":0.2590592973962875,"score_spread":0.2385354412824756,"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."}}