{"id":"W4237921547","doi":"10.1109/glocom.2014.7417264","title":"Femto-Cloud Formation: A Coalitional Game-Theoretic Approach","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Femtocell; Femto-; Cloud computing; Computer science; Incentive; Computer network; Game theory; Quality of experience; Microeconomics; Quality of service; Base station; Economics","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":[0.0003992318,0.0003234375,0.0003468306,0.00008407873,0.000253155,0.0001584448,0.001359967,0.0001845467,0.0001026709],"category_scores_gemma":[0.00009399356,0.0003573019,0.00009551173,0.000470835,0.0002747755,0.0006344783,0.0001741075,0.0002954586,0.0004216761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892169,"about_ca_system_score_gemma":0.00007484889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003836299,"about_ca_topic_score_gemma":0.00009383287,"domain_scores_codex":[0.9981446,0.0002747821,0.0006219358,0.0002682635,0.0002779728,0.0004124678],"domain_scores_gemma":[0.9970549,0.0001242747,0.0001620686,0.002053584,0.000415605,0.0001895526],"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":[0.00001691562,0.0001910378,0.0003049248,0.0002224468,0.00008000641,5.09843e-7,0.000560344,0.1732161,0.0001772571,0.7967011,0.02199992,0.0065294],"study_design_scores_gemma":[0.00062924,0.00002976237,0.0001646746,0.00008863748,0.00003763009,0.00006118071,0.0003112276,0.9535104,0.00008055256,0.01652229,0.02807915,0.0004852564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007948469,0.0004150921,0.8541808,0.000390452,0.0004248245,0.0004336429,0.0001406035,0.0006543969,0.1425653],"genre_scores_gemma":[0.948788,0.000352631,0.04968488,0.0001143841,0.0001337773,0.0002110444,0.0005568679,0.00003388361,0.0001245357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9479932,"threshold_uncertainty_score":0.9998879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03301349043186726,"score_gpt":0.2722268090658109,"score_spread":0.2392133186339437,"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."}}