{"id":"W1930946327","doi":"","title":"Delay Minimization in Multihop Wireless Networks: Static Scheduling Does It","year":2012,"lang":"en","type":"preprint","venue":"CaltechAUTHORS (California Institute of Technology)","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Minification; Scheduling (production processes); Wireless; Computer network; Wireless network; Distributed computing; Mathematical optimization; Telecommunications; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000407525,0.0008423157,0.001211482,0.00160341,0.0001045424,0.00003891699,0.0009222431,0.002399284,0.00002644928],"category_scores_gemma":[0.0002389927,0.0008378676,0.0001762164,0.001632501,0.0004750444,0.0003579468,0.0006955638,0.002287898,0.00002450353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005459723,"about_ca_system_score_gemma":0.0001115549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002078763,"about_ca_topic_score_gemma":0.0001431799,"domain_scores_codex":[0.9962237,0.00004680048,0.001610105,0.000773619,0.0003437535,0.001001989],"domain_scores_gemma":[0.9978627,0.00006014889,0.000568514,0.001113307,0.0002211504,0.0001742005],"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":[0.00002322241,0.0000849515,0.001231416,0.0007533758,0.00009181345,0.00002232565,0.0001132198,0.9713843,0.0003058765,0.001257752,0.00008297215,0.02464871],"study_design_scores_gemma":[0.000573292,0.00001741523,0.00002906657,0.001654152,0.00009661899,0.000009107359,0.0001330746,0.9877282,0.003200321,0.002286313,0.00340624,0.0008661813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1981883,0.001664684,0.7939517,0.0003055029,0.002956214,0.001120407,0.000163283,0.001547541,0.0001023575],"genre_scores_gemma":[0.8111707,0.002785468,0.1847348,0.00003006135,0.0002049913,0.0003805262,0.0004892145,0.0001906923,0.00001357182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6129824,"threshold_uncertainty_score":0.9994072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190044287485818,"score_gpt":0.2425114400292734,"score_spread":0.2306109971544152,"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."}}