{"id":"W2537404375","doi":"10.1109/apace.2012.6457654","title":"Distributed convolutional-based coding for system non-idealities","year":2012,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Coding (social sciences); Channel (broadcasting); Ideal (ethics); Algorithm; Relay; Transmission (telecommunications); Focus (optics); Bounded function; Phase-shift keying; Convolutional code; Bit error rate; Theoretical computer science; Topology (electrical circuits); Decoding methods; Computer network; Telecommunications; Mathematics; Physics; Statistics; Combinatorics","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":[0.001182729,0.0004846818,0.0004529946,0.0003426532,0.000391815,0.0005862148,0.000764814,0.0006099636,0.0009607573],"category_scores_gemma":[0.002494328,0.000242685,0.0003109136,0.0003527499,0.00127551,0.0009100309,0.0007360911,0.000929184,0.0001978255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147461,"about_ca_system_score_gemma":0.001661602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005413209,"about_ca_topic_score_gemma":0.005958637,"domain_scores_codex":[0.9993616,0.0001577294,0.0000234029,0.00007286287,0.0002932693,0.000091214],"domain_scores_gemma":[0.9988083,0.0006488728,0.0001270697,0.0001931364,0.0001967911,0.00002586498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004139046,0.00001814524,0.0002577834,0.0000477193,0.00002177734,0.00009568989,0.00009803725,0.7567804,0.003820802,0.2154842,0.0007419097,0.02259205],"study_design_scores_gemma":[0.000003790806,0.000009113589,0.00004030053,0.000005835445,0.00000345283,0.00001899982,0.000004004252,0.9844865,0.0007106489,0.01403594,0.0006767396,0.000004645222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.019409,0.0003018734,0.9750931,0.0002455515,0.00003765439,0.00002246657,0.00003280012,0.0002224432,0.004635173],"genre_scores_gemma":[0.8970974,0.0004384272,0.09664551,0.0001168278,0.00005045541,0.00007193531,0.00006955182,0.00003631804,0.005473634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005413209,"threshold_uncertainty_score":0.01558101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05296454181132032,"score_gpt":0.2869108458037039,"score_spread":0.2339463039923835,"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."}}