{"id":"W2094167931","doi":"10.1109/netcod.2012.6261876","title":"Hybrid noncoherent network coding","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":"McGill University","funders":"","keywords":"Subspace topology; Linear network coding; Concatenated error correction code; Decoding methods; Upper and lower bounds; Computer science; Algorithm; Coding (social sciences); Theoretical computer science; Mathematics; Block code; Discrete mathematics; Artificial intelligence; Computer network","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":[0.0005533714,0.0003610685,0.0003953303,0.0004533274,0.0003665633,0.0005807492,0.000841066,0.0004578688,0.001440013],"category_scores_gemma":[0.001698875,0.0001367853,0.0002541256,0.0007466254,0.0005945817,0.001423182,0.001263019,0.0006954803,0.0003316579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005387662,"about_ca_system_score_gemma":0.0007208459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006616801,"about_ca_topic_score_gemma":0.001136978,"domain_scores_codex":[0.9994654,0.000152814,0.00002265292,0.00006965929,0.0002301886,0.00005925821],"domain_scores_gemma":[0.9988845,0.0004041448,0.0001101692,0.0003230801,0.0002316353,0.00004647627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001686819,0.00008981338,0.001092865,0.0001646188,0.00004640379,0.0003424737,0.0001647603,0.3075366,0.04251247,0.4858043,0.002132003,0.159945],"study_design_scores_gemma":[0.00001220205,0.00008371311,0.0002419292,0.00001349543,0.00001161579,0.0002484291,0.00001976493,0.9271511,0.0120909,0.05325988,0.006844874,0.00002214691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0230324,0.0002642148,0.9724023,0.0001158134,0.00004504644,0.00005278143,0.00008099704,0.0001406265,0.003865819],"genre_scores_gemma":[0.5772306,0.0006908127,0.4153041,0.0002225446,0.00009484286,0.0002976717,0.0002776285,0.00004263645,0.005839025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001440013,"threshold_uncertainty_score":0.004817367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05049959274554945,"score_gpt":0.2861862604668605,"score_spread":0.2356866677213111,"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."}}