{"id":"W2023982328","doi":"10.1117/12.473981","title":"2D wavelength-time codes for optical code-division multiple access with differential detection","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Antipodal point; Computer science; Bit error rate; Code division multiple access; Coding gain; Coding (social sciences); Electronic engineering; Differential (mechanical device); Code (set theory); Algorithm; Computer network; Mathematics; Decoding methods; Engineering","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":[0.0004330823,0.0003246877,0.0001670707,0.0003367741,0.0002066436,0.000389897,0.0003078208,0.0003714754,0.0008168097],"category_scores_gemma":[0.001740255,0.0001153139,0.0001653332,0.0004184597,0.0005114175,0.0005208113,0.0003202766,0.0002800983,0.0001661501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710768,"about_ca_system_score_gemma":0.0003637142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003225094,"about_ca_topic_score_gemma":0.0005745509,"domain_scores_codex":[0.9996332,0.0001087772,0.000008108714,0.00002642695,0.0001825715,0.00004086655],"domain_scores_gemma":[0.9988292,0.000684867,0.0001535601,0.0001261632,0.0001722234,0.00003397625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001752893,0.000113136,0.004059728,0.0002356484,0.00004520321,0.0003093631,0.0002125508,0.2842113,0.118665,0.5058795,0.0008196592,0.08527351],"study_design_scores_gemma":[0.00002444406,0.0002132717,0.0007504106,0.00002438641,0.00001381431,0.0002925804,0.00002035478,0.9147927,0.02391018,0.0550637,0.004869718,0.00002451844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2885654,0.001251086,0.7030743,0.0002816102,0.00007482516,0.00007039631,0.00005795554,0.0001124794,0.006512042],"genre_scores_gemma":[0.8366148,0.0005947053,0.1609106,0.000104037,0.00004399229,0.0001015412,0.00005356458,0.00001717721,0.001559501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008168097,"threshold_uncertainty_score":0.002732515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007328700192938,"score_gpt":0.2171105528212115,"score_spread":0.2070372658192821,"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."}}