{"id":"W2041317510","doi":"10.1155/2012/843527","title":"An Algorithm That Predicts CSI to Allocate Bandwidth for Healthcare Monitoring in Hospital's Waiting Rooms","year":2012,"lang":"en","type":"article","venue":"International Journal of Telemedicine and Applications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Bandwidth (computing); Wireless; Algorithm; Channel state information; Reliability (semiconductor); Bandwidth allocation; Healthcare system; Real-time computing; Health care; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002116419,0.00009657408,0.0001429737,0.0001849157,0.00003783473,0.00002025666,0.0001743358,0.00003959008,0.000002533007],"category_scores_gemma":[0.00002039639,0.00009206925,0.00002452367,0.0001226716,0.0000138193,0.0003815413,0.00001615761,0.000131117,6.749914e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009797448,"about_ca_system_score_gemma":0.00001276725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006760643,"about_ca_topic_score_gemma":0.00000334841,"domain_scores_codex":[0.9991688,0.000008441093,0.0003388515,0.00008502378,0.0002111836,0.0001877305],"domain_scores_gemma":[0.9993548,0.00006743601,0.0001093796,0.00007668809,0.0002122249,0.0001794252],"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":[0.0000216808,0.000149948,0.043921,0.00004247579,0.00008417878,0.000003501769,0.00120643,0.2133378,0.0009896853,0.0006598704,0.0004764802,0.739107],"study_design_scores_gemma":[0.005575277,0.001081701,0.09153268,0.001407325,0.0001206454,0.0002343258,0.004536506,0.7821268,0.01137762,0.00258093,0.09843069,0.0009954363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08948178,0.001059553,0.9067062,0.00158824,0.0006692476,0.0003937927,0.0000193818,0.00004039487,0.00004146892],"genre_scores_gemma":[0.9484985,0.0006022227,0.04804601,0.00007452278,0.002612773,0.0001123748,0.00002535731,0.00002256143,0.000005707023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8590167,"threshold_uncertainty_score":0.3754475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213678227877365,"score_gpt":0.2939276616513955,"score_spread":0.2817908793726219,"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."}}