{"id":"W1978687936","doi":"10.1109/wons.2013.6578348","title":"Irregular repetition slotted ALOHA with multiuser detection","year":2013,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"","keywords":"Aloha; Network packet; Computer science; Decoding methods; Collision; Multiuser detection; Random access; Interference (communication); Single antenna interference cancellation; Algorithm; Capture effect; Channel (broadcasting); Real-time computing; Throughput; Computer network; Code division multiple access; Telecommunications; Wireless","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":[0.001260719,0.0006555791,0.0007308369,0.0006299985,0.0007046316,0.0010099,0.001692771,0.0007492839,0.001250673],"category_scores_gemma":[0.002758129,0.0003444916,0.0005962342,0.001088251,0.001204462,0.001347519,0.001321952,0.0007108583,0.0004476302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000795598,"about_ca_system_score_gemma":0.0008627166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721034,"about_ca_topic_score_gemma":0.001656858,"domain_scores_codex":[0.9984616,0.0004665575,0.00006609259,0.0002465482,0.0004709124,0.0002883894],"domain_scores_gemma":[0.9977411,0.0009933142,0.0003255854,0.0004746583,0.0003876421,0.00007780046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008831731,0.0001432672,0.002366277,0.0003040941,0.0001870909,0.001010061,0.0005628309,0.7445939,0.03542276,0.1212869,0.001616479,0.09162311],"study_design_scores_gemma":[0.00002109025,0.0001339012,0.0001409595,0.000009401815,0.00002288478,0.0003111981,0.00003227785,0.9807042,0.004476676,0.01257569,0.001549276,0.00002248988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0552277,0.0004449229,0.9383572,0.0001168795,0.00006809818,0.00008391355,0.0000646191,0.0004615796,0.005174953],"genre_scores_gemma":[0.9112105,0.0002823968,0.08531185,0.0001001899,0.00005055115,0.00007411063,0.00004268127,0.0000261991,0.002901629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001721034,"threshold_uncertainty_score":0.006667376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002272069932642886,"score_gpt":0.1442926390925278,"score_spread":0.1420205691598849,"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."}}