{"id":"W2121578930","doi":"10.1109/tvt.2008.927033","title":"A Convolutional-Based Distributed Coded Cooperation Scheme for Relay Channels","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Relay; Code word; Computer science; Algorithm; Convolutional code; Decoding methods; Node (physics); Redundancy (engineering); Theoretical computer science; Topology (electrical circuits); Mathematics; Engineering","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":[0.0009566374,0.0008224209,0.0005494255,0.0004033404,0.0005500168,0.0008440217,0.001453836,0.001047261,0.001242732],"category_scores_gemma":[0.001599657,0.0002014554,0.0004224767,0.0007938282,0.0008970512,0.0008855226,0.0008353605,0.0006139392,0.0002552543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810117,"about_ca_system_score_gemma":0.001695658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003854331,"about_ca_topic_score_gemma":0.005119635,"domain_scores_codex":[0.9993357,0.0001812597,0.00002445028,0.0001248973,0.0002077262,0.0001259016],"domain_scores_gemma":[0.9991007,0.0003563012,0.000105114,0.0001567049,0.0002332384,0.00004798741],"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":[0.000247874,0.00009372012,0.0005549459,0.0002011202,0.00006877301,0.0004917412,0.0001802665,0.777765,0.01962519,0.1544814,0.001751759,0.04453829],"study_design_scores_gemma":[0.00002031491,0.00007779446,0.00008632638,0.00001021347,0.00002124018,0.0001161167,0.00001136031,0.9892576,0.0026638,0.006671339,0.001046319,0.00001763982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06637439,0.0007391479,0.9235117,0.0002631003,0.00009120475,0.0001270031,0.0001451954,0.0002506494,0.008497614],"genre_scores_gemma":[0.9363774,0.0002905081,0.0598897,0.00008059768,0.0000249943,0.00007525423,0.00005898222,0.00001017767,0.003192311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003854331,"threshold_uncertainty_score":0.01313341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440895322594596,"score_gpt":0.2698424987178483,"score_spread":0.2454335454919023,"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."}}