{"id":"W2171862265","doi":"10.1109/icc.1998.683029","title":"Optical frequency-hop multiple access communications system","year":2002,"lang":"en","type":"article","venue":"","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Code division multiple access; Computer science; Frequency-hopping spread spectrum; Decoding methods; Encoding (memory); Bandwidth (computing); Multi-frequency time division multiple access; Electronic engineering; Radio frequency; Fiber Bragg grating; Computer network; Spread spectrum; Channel access method; Optical fiber; Telecommunications; Orthogonal frequency-division multiplexing; Wireless; MIMO-OFDM; 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":[0.00009804333,0.00009642247,0.0001220664,0.00005188498,0.00009221285,0.00006388887,0.0005979905,0.0000659348,0.0002225402],"category_scores_gemma":[0.00001317772,0.00008726024,0.00005146487,0.0001665249,0.00004306348,0.0001766723,0.00005793068,0.0001181301,0.0006167751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003526004,"about_ca_system_score_gemma":0.000001324616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002295336,"about_ca_topic_score_gemma":0.00004019011,"domain_scores_codex":[0.9994293,0.00003677841,0.0001958122,0.0000882852,0.00007977415,0.0001700819],"domain_scores_gemma":[0.9990429,0.0001073369,0.00001213385,0.0007395537,0.00002213916,0.00007593492],"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":[0.000002063194,0.00009938524,0.006238751,0.0003920798,0.0001393176,0.00001318574,0.0006688906,0.002262684,0.007153556,0.9714491,0.008539133,0.003041845],"study_design_scores_gemma":[0.0007449546,0.00002874614,0.001699267,0.0001792906,0.00004237009,0.00009361962,0.001413327,0.9731373,0.004801401,0.001010964,0.0161756,0.0006732147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.10942,0.001288255,0.01035922,0.0001355165,0.0005754792,0.000284716,0.00001157148,0.001873101,0.8760522],"genre_scores_gemma":[0.9983763,0.00003216278,0.001101269,0.0000179712,0.00003883857,0.00005114979,0.00000386371,0.00001962353,0.0003588208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9708745,"threshold_uncertainty_score":0.7927603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001347727825082,"score_gpt":0.231277695146344,"score_spread":0.1912642178680932,"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."}}