{"id":"W2115079213","doi":"10.1109/icce.2011.5722733","title":"Optimized, practical firmware design for a novel flexible wireless multi-sensor platform for body activity and vitals monitoring","year":2011,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Firmware; Computer science; Wireless; Wireless sensor network; Embedded system; Real-time computing; Computer network; Computer hardware; Telecommunications","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":[0.0006226259,0.001140037,0.000517612,0.000798967,0.0002663427,0.0007458488,0.002752165,0.0006957033,0.004743815],"category_scores_gemma":[0.002234738,0.0005911838,0.0003968501,0.0003123212,0.0002084501,0.001322409,0.0005393768,0.0007876723,0.001870477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004679791,"about_ca_system_score_gemma":0.0006678568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006377079,"about_ca_topic_score_gemma":0.0009593698,"domain_scores_codex":[0.9991006,0.0001237906,0.00008371194,0.0002059613,0.0003583501,0.000127549],"domain_scores_gemma":[0.9985052,0.0002903061,0.0002362029,0.0002927764,0.0005817553,0.00009385483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006173,0.0005275176,0.00583518,0.0008680094,0.0001990558,0.0007406183,0.0002973655,0.01937086,0.5079268,0.005859795,0.01300665,0.4447508],"study_design_scores_gemma":[0.0002634141,0.002084143,0.008075089,0.0001015589,0.0003055598,0.002114318,0.0001213168,0.2059066,0.7171959,0.001723109,0.06194167,0.0001672908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05965528,0.00040149,0.9259995,0.0002246127,0.000195929,0.0007021428,0.0001608477,0.008906327,0.003753924],"genre_scores_gemma":[0.4574432,0.0003064428,0.5303221,0.0003420679,0.0001091672,0.0007157408,0.0004905966,0.001362243,0.008908342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004743815,"threshold_uncertainty_score":0.01586962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2757156681102287,"score_gpt":0.3548450657043971,"score_spread":0.07912939759416837,"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."}}