{"id":"W2343759111","doi":"10.1109/twc.2016.2531694","title":"ECO-FiWi: An Energy Conservation Scheme for Integrated Fiber-Wireless Access Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Backhaul (telecommunications); Computer network; Access network; Computer science; Quality of service; Wireless; Wireless network; Passive optical network; Time division multiple access; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002698351,0.0003783034,0.0003955979,0.0002795742,0.0005427516,0.0001258352,0.002298851,0.00026467,0.0001075588],"category_scores_gemma":[0.000009667869,0.0003474588,0.0001732131,0.000673587,0.0002417767,0.0009919095,0.00001810041,0.0003940664,0.00003655098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003945091,"about_ca_system_score_gemma":0.00009595359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002001999,"about_ca_topic_score_gemma":0.002179404,"domain_scores_codex":[0.9979984,0.0002551901,0.0007565081,0.0003626994,0.0001970111,0.0004301452],"domain_scores_gemma":[0.9941033,0.001241031,0.0001746827,0.003892227,0.0003911215,0.0001976131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002222646,0.001149795,0.00009719547,0.0001149753,0.0006224631,9.611711e-7,0.0005232898,0.1859287,0.03591876,0.01149425,0.004392521,0.7595348],"study_design_scores_gemma":[0.001369582,0.00008046775,0.00005178025,0.0002937368,0.00005439509,0.000009599453,0.0001361371,0.8619227,0.01941394,0.0003327319,0.1156659,0.0006690399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0111068,0.0002252759,0.9841394,0.0009384713,0.0004200051,0.0006374724,0.0003502659,0.00111852,0.001063793],"genre_scores_gemma":[0.9867221,0.002142987,0.007343597,0.0001776482,0.00004227826,0.002168764,0.0001693361,0.0001466418,0.001086635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9767958,"threshold_uncertainty_score":0.9998977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014771443634797,"score_gpt":0.2901840788407222,"score_spread":0.2500363644043743,"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."}}