{"id":"W4387478842","doi":"10.2139/ssrn.4586771","title":"Incentivizing Resource Pooling","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Server; Pooling; Computer science; Distributed computing; Queueing theory; Queue; Security token; Resource allocation; Resource (disambiguation); Computer network; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00306332,0.0001548665,0.0001785276,0.0005456505,0.0005619838,0.0002255826,0.000368033,0.00004787067,0.00005252357],"category_scores_gemma":[0.0002684166,0.0001469184,0.0001550002,0.001399125,0.00003537201,0.0009696375,0.0001569788,0.001184413,0.0009433582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154886,"about_ca_system_score_gemma":0.0001421289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003674775,"about_ca_topic_score_gemma":0.0001453582,"domain_scores_codex":[0.997076,0.00002527099,0.000266075,0.0002196525,0.0002869841,0.002125954],"domain_scores_gemma":[0.9994115,0.00006012145,0.0002517249,0.0001834374,0.00007968329,0.00001348616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008654373,0.00003626904,0.005082218,0.00002749754,0.0002739235,0.0000436838,0.00007118216,0.00948069,0.001175896,0.9219518,0.001038428,0.0607319],"study_design_scores_gemma":[0.00043272,0.00001099545,0.0003062586,0.00004817832,0.0001118503,0.00004781167,0.00327775,0.008495198,0.00003284769,0.9063065,0.08063082,0.0002990692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600295,0.0008782852,0.01871654,0.002948398,0.0003929782,0.0001273512,4.916084e-7,0.0007855862,0.01612088],"genre_scores_gemma":[0.9944548,0.0002409717,0.00003335097,0.00056733,0.002009399,0.000002936144,0.00001010733,0.00004598411,0.002635138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0795924,"threshold_uncertainty_score":0.9998345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00959066066771592,"score_gpt":0.2293096595561822,"score_spread":0.2197189988884662,"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."}}