{"id":"W2110233602","doi":"10.1109/tvt.2011.2178870","title":"Outage Analysis of Cooperative CDMA Systems in Nakagami- $m$ Fading Channels","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fading; Nakagami distribution; Telecommunications link; Moment-generating function; Maximal-ratio combining; Code division multiple access; Signal-to-noise ratio (imaging); Cumulative distribution function; Electronic engineering; Base station; Computer science; Probability density function; Topology (electrical circuits); Algorithm; Mathematics; Engineering; Telecommunications; Statistics; Electrical engineering; Decoding methods","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002812982,0.0001631282,0.000417413,0.002017973,0.0001385962,0.00002701861,0.0009249738,0.0001908233,0.00003276418],"category_scores_gemma":[0.000009897085,0.0001596671,0.0001264667,0.00485353,0.0001272204,0.0001998639,0.00001375492,0.0003768506,0.0000165481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007708224,"about_ca_system_score_gemma":0.00003495831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004636314,"about_ca_topic_score_gemma":0.0001846737,"domain_scores_codex":[0.9986765,0.0001709242,0.0004027909,0.0003662517,0.0001429408,0.0002405977],"domain_scores_gemma":[0.9986855,0.00006732115,0.0001155467,0.0009159519,0.0001742777,0.00004141903],"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":[0.00005213472,0.001556779,0.001055168,0.00004415679,0.002495733,0.0001161138,0.01265,0.68198,0.03659043,0.1631102,0.00002894821,0.1003203],"study_design_scores_gemma":[0.0005446876,0.0002588172,0.000547155,0.00009900197,0.0001581955,0.00001297938,0.0004513424,0.9167748,0.08024555,0.0001774874,0.0003823964,0.000347587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1173743,0.0003564716,0.881033,0.000207339,0.0002613012,0.0002243763,0.000004414489,0.0002001673,0.0003386319],"genre_scores_gemma":[0.9974296,0.0002813574,0.002044676,0.00004939937,0.000003723804,0.00009496998,0.000001215654,0.000008995548,0.00008607165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8800553,"threshold_uncertainty_score":0.6511036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226158480910014,"score_gpt":0.2641694024463552,"score_spread":0.2219078176372551,"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."}}