{"id":"W2018214963","doi":"10.1109/lsp.2013.2281597","title":"Deterministic Construction of Real-Valued Ternary Sensing Matrices Using Optical Orthogonal Codes","year":2013,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Golomb coding; Hadamard transform; Normalization (sociology); Binary number; Algorithm; Matrix (chemical analysis); Hadamard matrix; Computer science; Complex Hadamard matrix; Ternary operation; Sparse matrix; Mathematics; Theoretical computer science; Arithmetic; Image (mathematics); Image processing; Image compression; Artificial intelligence","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":[0.0004116318,0.0004181239,0.0002899288,0.0005739491,0.0003366959,0.000617798,0.0004308217,0.0004237724,0.001187762],"category_scores_gemma":[0.001512062,0.0002071218,0.0002682653,0.0004637997,0.0006985175,0.0007524642,0.0006878878,0.0005816899,0.0003432264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004351271,"about_ca_system_score_gemma":0.0006252037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000339399,"about_ca_topic_score_gemma":0.0005156956,"domain_scores_codex":[0.9995102,0.00009384165,0.00002833376,0.00008283794,0.0002258203,0.0000590594],"domain_scores_gemma":[0.9993431,0.0001904863,0.0001403323,0.0001347645,0.0001414085,0.00004989731],"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":[0.0002164181,0.00008190369,0.0005653807,0.0001987916,0.00002671442,0.000309082,0.0002169078,0.04832252,0.1612192,0.6605898,0.00162709,0.1266262],"study_design_scores_gemma":[0.00009107414,0.0005042169,0.0005535079,0.00006999511,0.00002933931,0.0009903716,0.0001151243,0.6042405,0.2509302,0.1146316,0.02771162,0.0001324609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06444027,0.0004403458,0.92518,0.0002352861,0.0001765525,0.00008955682,0.00009745677,0.0002422415,0.009098279],"genre_scores_gemma":[0.6106858,0.0004641235,0.3852158,0.0002101427,0.0001029303,0.0001596077,0.0001525565,0.00005506153,0.002953997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001187762,"threshold_uncertainty_score":0.003973484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800034238972296,"score_gpt":0.2396329377314017,"score_spread":0.2216325953416788,"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."}}