{"id":"W2554698491","doi":"10.1007/978-3-319-47729-9_23","title":"[Invited Paper] Native IP Connectivity for Sensors and Actuators in Home Area Network","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chipset; Computer science; Power consumption; Computer network; The Internet; Telecommunications; Embedded system; Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002869129,0.0005147728,0.00032397,0.000527068,0.0005962566,0.001918065,0.0008046309,0.0009755809,0.02189105],"category_scores_gemma":[0.0008616798,0.0002176552,0.0002670924,0.001114262,0.0003558546,0.002335086,0.0005840167,0.001207939,0.007546341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927143,"about_ca_system_score_gemma":0.0004361163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414225,"about_ca_topic_score_gemma":0.002736061,"domain_scores_codex":[0.9997886,0.00002589827,0.00001026267,0.00005458164,0.00009574901,0.00002496419],"domain_scores_gemma":[0.9996899,0.00005822303,0.000008961165,0.00002974195,0.0001790064,0.00003413634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005444351,0.00002498477,0.0000980444,0.0003740461,0.00001214283,0.0001548473,0.000121756,0.0008817242,0.002357966,0.03103289,0.7079657,0.2569214],"study_design_scores_gemma":[0.00001002937,0.00004640465,0.0003136429,0.00007610075,0.00001636023,0.0002998864,0.00006074681,0.002034373,0.001193601,0.008973311,0.9869627,0.00001280314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.008063326,0.06318603,0.1172222,0.02267641,0.1515989,0.0002917883,0.001031163,0.002604345,0.6333259],"genre_scores_gemma":[0.05715076,0.04655417,0.02267752,0.006557413,0.03236464,0.0001414283,0.001459988,0.0007640981,0.83233],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02189105,"threshold_uncertainty_score":0.07323289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792700799713332,"score_gpt":0.2217344037096997,"score_spread":0.2038073957125664,"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."}}