{"id":"W2135330941","doi":"10.1109/iwcmc.2011.5982655","title":"Versatile medium access control (VMAC) protocol for mobile sensor networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Wireless sensor network; Frame (networking); Schedule; Energy consumption; Routing protocol; Real-time computing; Routing (electronic design automation)","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":[0.001244444,0.0006281674,0.0006131493,0.0009528493,0.0009312433,0.001002269,0.001952758,0.0007951056,0.001056916],"category_scores_gemma":[0.002589701,0.000232564,0.0004815921,0.001077546,0.0007532243,0.001258627,0.001110549,0.001378739,0.0003746275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007377923,"about_ca_system_score_gemma":0.001114511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001169446,"about_ca_topic_score_gemma":0.001304317,"domain_scores_codex":[0.9988725,0.0003776419,0.00008577066,0.0001179287,0.0004585431,0.00008769737],"domain_scores_gemma":[0.9988019,0.0004452268,0.000198194,0.0001980655,0.0003003926,0.00005614913],"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":[0.0004095195,0.0001466895,0.001609957,0.001992378,0.0002743005,0.0008474859,0.000643064,0.07039665,0.1081192,0.2820907,0.01727763,0.5161924],"study_design_scores_gemma":[0.000177613,0.001075009,0.001502389,0.000325872,0.0002841615,0.002638779,0.0002262246,0.6703415,0.04511488,0.0801928,0.1979095,0.0002112573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01228567,0.0111227,0.9680844,0.0005486172,0.0006798046,0.000330516,0.00008938232,0.001127788,0.005731174],"genre_scores_gemma":[0.5876986,0.009923936,0.3907652,0.0007670031,0.0007042794,0.00178657,0.0006033185,0.0001735924,0.007577553],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001952758,"threshold_uncertainty_score":0.006581306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360999914850021,"score_gpt":0.2982754745337736,"score_spread":0.2546654753852733,"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."}}