{"id":"W2971382750","doi":"10.1364/jocn.11.000512","title":"Optimal transceiver placement and resource allocation schemes in cooperative dynamic FSO networks","year":2019,"lang":"en","type":"article","venue":"Journal of Optical Communications and Networking","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Transceiver; Computer science; Resource allocation; Reliability (semiconductor); Computer network; Integer programming; Exploit; Scheme (mathematics); Resource management (computing); Mathematical optimization; Distributed computing; Telecommunications; Algorithm; Wireless; Mathematics","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":[0.0004289026,0.000127326,0.0002576858,0.0001309242,0.00008677102,0.00006978073,0.0004392078,0.0001196325,0.000006545263],"category_scores_gemma":[0.00001965328,0.0001186595,0.00003388127,0.0002438883,0.0001948073,0.0001886042,0.0001793998,0.0007072083,0.000001327138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007388922,"about_ca_system_score_gemma":0.000012989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.659111e-7,"about_ca_topic_score_gemma":0.000009179266,"domain_scores_codex":[0.9990727,0.00007453594,0.0004675437,0.00009250711,0.0001103621,0.0001824038],"domain_scores_gemma":[0.9988117,0.0004779281,0.00008480598,0.0004912715,0.00007099777,0.00006331831],"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":[0.0001405852,0.0002376394,0.004630791,0.00008140755,0.0002382745,0.000005393612,0.001176654,0.7295097,0.003296483,0.02188441,0.00008590712,0.2387127],"study_design_scores_gemma":[0.0006172993,0.0001341609,0.001582914,0.0002637378,0.00001943228,0.00002562626,0.0008646489,0.9900942,0.00009501001,0.0000692257,0.006075113,0.0001586072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109368,0.04549757,0.03856359,0.002004917,0.00009288438,0.0003150859,0.000001114226,0.00009152873,0.002496529],"genre_scores_gemma":[0.9513345,0.02621045,0.02236981,0.00003077867,0.00001571871,0.000007255496,0.000003983387,0.00001662937,0.00001082942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2605845,"threshold_uncertainty_score":0.4838795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197656478624847,"score_gpt":0.2433576222831874,"score_spread":0.2313810574969389,"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."}}