{"id":"W2045365184","doi":"10.1002/dac.700","title":"On the design of bandwidth efficient signalling for indoor wireless optical channels","year":2005,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Optical wireless; Computer science; Bandwidth (computing); Multipath propagation; Wireless; Optical wireless communications; Electronic engineering; Channel (broadcasting); Telecommunications; Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001248071,0.0001185698,0.0002446397,0.0002078008,0.00006227448,0.00008310493,0.001971873,0.00009041784,0.000007782266],"category_scores_gemma":[0.0003280995,0.00008594859,0.0001105882,0.000119802,0.0001133316,0.0001067984,0.00009358994,0.0003157533,0.000007650432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535253,"about_ca_system_score_gemma":0.00003236823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001413218,"about_ca_topic_score_gemma":4.123971e-7,"domain_scores_codex":[0.9983887,0.0001373485,0.0008258042,0.00006163889,0.0004671305,0.0001193794],"domain_scores_gemma":[0.9955314,0.002723328,0.0003914424,0.000490008,0.0008263663,0.00003741303],"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":[0.00005994933,0.00009021839,0.000006423104,0.000006551553,0.0001550413,2.844462e-7,0.0002182794,0.8520138,0.003488136,0.1374422,0.0003619182,0.006157217],"study_design_scores_gemma":[0.0006512165,0.0001072656,0.00002523057,0.0004655073,0.00001604337,0.00001908028,0.0004233413,0.9509329,0.04246197,0.001031431,0.003741127,0.000124913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1415495,0.003407358,0.8475499,0.00520709,0.0006539399,0.0005498354,0.00001013415,0.000103411,0.0009688385],"genre_scores_gemma":[0.9908053,0.000699832,0.008270808,0.00003693267,0.00009613084,0.00005116327,0.00000301484,0.00002141225,0.00001546291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8492558,"threshold_uncertainty_score":0.3664264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03486985614496433,"score_gpt":0.2702440108190248,"score_spread":0.2353741546740605,"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."}}