{"id":"W1483690602","doi":"10.1109/ccece.2003.1226348","title":"A sub-optimal receiving scheme for SCCC with coded MSK over ISI channels","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Intersymbol interference; Algorithm; Decoding methods; Trellis (graph); Convolutional code; Channel (broadcasting); Encoder; Equalization (audio); Interference (communication); Telecommunications","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":[0.0009478357,0.0007099944,0.0007106108,0.0003767188,0.0005408677,0.0005570257,0.0004943631,0.0006688652,0.0008957701],"category_scores_gemma":[0.002578994,0.0002435965,0.0004574191,0.0005776773,0.001197532,0.0007775101,0.0005851715,0.0005309699,0.0001912974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008715147,"about_ca_system_score_gemma":0.001332384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928309,"about_ca_topic_score_gemma":0.002039283,"domain_scores_codex":[0.9992638,0.0002389827,0.00002936628,0.00009928801,0.0002440639,0.0001243924],"domain_scores_gemma":[0.9984555,0.0007968761,0.0002090711,0.0002041962,0.0002739385,0.00006026819],"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":[0.0003580888,0.00008732516,0.002240063,0.0001431007,0.00008314892,0.0002423789,0.0001812603,0.8613514,0.03224463,0.05743631,0.0005521037,0.04508017],"study_design_scores_gemma":[0.0000178626,0.000114703,0.0002269344,0.00000680973,0.00002321883,0.0001592427,0.00001824185,0.9857786,0.008800202,0.004382954,0.0004543394,0.00001690745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1292803,0.0004476854,0.8652244,0.0002287458,0.00002904037,0.00006790594,0.00004008102,0.0002396486,0.004442244],"genre_scores_gemma":[0.8269312,0.0002810084,0.1711463,0.00008289129,0.00002250327,0.00003838259,0.00004253633,0.0000295447,0.001425622],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001928309,"threshold_uncertainty_score":0.006323278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122545162963195,"score_gpt":0.2476773986008876,"score_spread":0.2354228823045681,"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."}}