{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004859073,0.000841679,0.0009437878,0.0007069753,0.0009545425,0.003211055,0.001698856,0.002216864,0.01717244],"category_scores_gemma":[0.02174401,0.0004888773,0.0005011127,0.000863721,0.001139499,0.00328908,0.003905396,0.002160995,0.001300244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517322,"about_ca_system_score_gemma":0.002941001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231372,"about_ca_topic_score_gemma":0.001456863,"domain_scores_codex":[0.9969695,0.001031944,0.0001356049,0.0005027491,0.0006045884,0.0007556645],"domain_scores_gemma":[0.9855167,0.008801918,0.001171185,0.002161487,0.0007606985,0.001587935],"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":[0.001326754,0.0008324736,0.004134445,0.0003221517,0.0002120184,0.0005618157,0.0005884708,0.1417006,0.02136532,0.6707956,0.01599998,0.1421603],"study_design_scores_gemma":[0.0001143609,0.0003255472,0.001979686,0.00005012915,0.00008656899,0.0001761456,0.0002934623,0.3825396,0.004315849,0.595871,0.01420235,0.00004524647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3568716,0.0008741351,0.4628885,0.01264366,0.0008862599,0.0004698359,0.0003277592,0.002895223,0.1621431],"genre_scores_gemma":[0.9819244,0.00007240572,0.009463589,0.0004159785,0.000097637,0.00005974695,0.00001992668,0.00004843783,0.007897839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01717244,"threshold_uncertainty_score":0.05744761,"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."}}