{"id":"W1979533605","doi":"10.1109/bwcca.2012.12","title":"DominoMAC: A Wireless Sensor Networks Medium Access Protocol","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer network; Computer science; Wireless sensor network; Multiple Access with Collision Avoidance for Wireless; Access control; Protocol (science); Key distribution in wireless sensor networks; Mobile wireless sensor network; Wireless distribution system; Wireless LAN controller; Media access control; Wireless network; Distributed computing; Wireless; 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":[0.0007214748,0.0005506491,0.0005549931,0.001396475,0.0009767741,0.001586165,0.001724465,0.0008223479,0.001981573],"category_scores_gemma":[0.003161415,0.0001762583,0.0002842257,0.001001954,0.000682181,0.001239681,0.001745671,0.001121749,0.0007451206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009922406,"about_ca_system_score_gemma":0.002171412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539746,"about_ca_topic_score_gemma":0.003140697,"domain_scores_codex":[0.9994366,0.0001196098,0.00003972686,0.00008246314,0.0002432222,0.00007851432],"domain_scores_gemma":[0.9992591,0.0002100543,0.0001048512,0.0000899377,0.0002445661,0.00009155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001184555,0.0005258924,0.004594759,0.001822817,0.0001556382,0.001589734,0.0004434563,0.03121059,0.119965,0.1527643,0.06981016,0.6159331],"study_design_scores_gemma":[0.0004225828,0.0005431038,0.003204354,0.0003030828,0.0001712294,0.002697301,0.0001637102,0.3039948,0.06747315,0.03205587,0.5887135,0.0002573545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06240267,0.01188267,0.8184081,0.002950101,0.001860864,0.001777711,0.001922638,0.0199391,0.07885607],"genre_scores_gemma":[0.7072819,0.005578791,0.2382048,0.002766907,0.000458792,0.002560389,0.001975408,0.0007552748,0.04041774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002539746,"threshold_uncertainty_score":0.007199228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305525746641222,"score_gpt":0.2913127320949492,"score_spread":0.268257474628537,"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."}}