{"id":"W7009448707","doi":"","title":"Efficient and reconfigurable multiple access schemes for machine-type communications","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Key (lock); Scheme (mathematics); Data transmission; Process (computing); Focus (optics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005136291,0.0004390188,0.000487373,0.000778852,0.000845786,0.001207577,0.0009662842,0.0004116481,0.004331097],"category_scores_gemma":[0.00188169,0.0002104598,0.0003497469,0.0007337113,0.0005210812,0.001147579,0.0008290443,0.0008036791,0.0009916556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070334,"about_ca_system_score_gemma":0.0005047336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004998401,"about_ca_topic_score_gemma":0.001295708,"domain_scores_codex":[0.9993193,0.000202712,0.00003737061,0.0000934632,0.0001673913,0.0001797584],"domain_scores_gemma":[0.9983726,0.0006005536,0.0001337826,0.0005992446,0.0002384324,0.00005541686],"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":[0.001838969,0.0002618575,0.0009715293,0.000227641,0.0001165915,0.0002988021,0.0002905767,0.1046085,0.1587979,0.2055767,0.009372592,0.5176383],"study_design_scores_gemma":[0.000123434,0.0004357338,0.0009409292,0.00005308279,0.00008851279,0.0005318687,0.0001078572,0.835449,0.09060752,0.04954104,0.02205005,0.00007102767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1043608,0.001469579,0.8722454,0.0003556733,0.0003406137,0.0001441596,0.0001272375,0.001422483,0.01953395],"genre_scores_gemma":[0.8350052,0.0005116675,0.1495102,0.00009900131,0.0001879107,0.00009416603,0.0001628369,0.00008557903,0.01434339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004331097,"threshold_uncertainty_score":0.01448894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317303297188602,"score_gpt":0.2851185423477681,"score_spread":0.2533882126289079,"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."}}