{"id":"W2606528594","doi":"10.5120/ijca2017913549","title":"Feasibility and Efficiency of Raspberry Pi as the Single Board Computer Sensor Node","year":2017,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Raspberry pi; Computer science; Node (physics); Single-board computer; Embedded system; Computer hardware; Operating system; Internet of Things; Physics; Acoustics","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":[0.0003096109,0.0003131862,0.0001990288,0.0002660308,0.0002427516,0.0004126533,0.0006216905,0.0003637522,0.002069726],"category_scores_gemma":[0.0005779493,0.0001080951,0.0001300586,0.0002119502,0.0001599513,0.001051079,0.0002715183,0.0002777364,0.0009232497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349637,"about_ca_system_score_gemma":0.0004284166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007866765,"about_ca_topic_score_gemma":0.001050449,"domain_scores_codex":[0.9995407,0.00008049507,0.00001297657,0.0001112377,0.000208904,0.00004571976],"domain_scores_gemma":[0.999757,0.00003238592,0.00002193008,0.00004236839,0.0001275148,0.00001883183],"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":[0.0006877666,0.0002101651,0.00669302,0.000485536,0.00002958208,0.0006638728,0.0002605395,0.01149269,0.543547,0.02600508,0.004978761,0.4049459],"study_design_scores_gemma":[0.00005923873,0.002559067,0.01096952,0.00009793453,0.0001250706,0.002497926,0.0003408285,0.164329,0.7003527,0.004956836,0.1136161,0.00009580026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.474906,0.00343666,0.4498477,0.001377849,0.0004395767,0.0003047159,0.0001700316,0.003122408,0.06639511],"genre_scores_gemma":[0.9061646,0.0007212137,0.08010724,0.00007984216,0.00005000336,0.0000622283,0.00008659769,0.00007146385,0.01265672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002069726,"threshold_uncertainty_score":0.006923854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817275345434995,"score_gpt":0.2688245164631454,"score_spread":0.2506517630087954,"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."}}