{"id":"W3135612806","doi":"10.1109/tit.2021.3129767","title":"Space–Time Codes From Sum-Rank Codes","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Information Theory","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Block code; Rank (graph theory); Generalization; Mathematics; Metric (unit); Concatenated error correction code; Construct (python library); Linear code; Expander code; Computer science; Discrete mathematics; Algorithm; Decoding methods; Combinatorics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000918337,0.0004425438,0.0004590294,0.0006035797,0.0004273411,0.001011532,0.001292908,0.0004096495,0.0008550375],"category_scores_gemma":[0.0000205785,0.0004574857,0.000509708,0.0005011604,0.000152843,0.001972194,0.00003499328,0.0009880837,0.0006744298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009682854,"about_ca_system_score_gemma":0.0002249204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005157671,"about_ca_topic_score_gemma":0.00000869726,"domain_scores_codex":[0.9975643,0.0004905491,0.0006551967,0.0004450988,0.0005060756,0.0003388411],"domain_scores_gemma":[0.9970867,0.0007216192,0.0003378578,0.001459003,0.0002398646,0.0001549562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006793861,0.0007894434,0.00001420787,0.0004861557,0.0017785,0.00002600029,0.03427449,0.170747,0.001426162,0.3594173,0.001539664,0.4288217],"study_design_scores_gemma":[0.002754648,0.0003267679,0.0004593398,0.001987621,0.0005906328,0.00005312741,0.003022206,0.1604322,0.1414982,0.6752435,0.009733315,0.003898417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0136794,0.0001059321,0.9767936,0.0003187885,0.002340062,0.0003199955,0.000362588,0.0007428125,0.005336828],"genre_scores_gemma":[0.9805884,0.0001828506,0.01746462,0.001002654,0.00008614286,0.0001603256,0.0001871031,0.00002418579,0.000303678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9669091,"threshold_uncertainty_score":0.9997877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048298956447022,"score_gpt":0.2202083759843734,"score_spread":0.2097253864199032,"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."}}