{"id":"W3123500228","doi":"10.2139/ssrn.3178454","title":"Designing Core-Selecting Payment Rules: A Computational Search Approach","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Core (optical fiber); Payment; Computer science; World Wide Web; Telecommunications","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":[0.00750669,0.00103912,0.002212835,0.001885835,0.0009818316,0.003432273,0.003079486,0.002668448,0.0094481],"category_scores_gemma":[0.03358052,0.001112558,0.001302989,0.001883469,0.001625111,0.004127389,0.002188824,0.002808109,0.0009781846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123266,"about_ca_system_score_gemma":0.003248215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200285,"about_ca_topic_score_gemma":0.00208887,"domain_scores_codex":[0.9964606,0.002148699,0.0001912749,0.0004200223,0.0004745087,0.0003049067],"domain_scores_gemma":[0.9734736,0.02302151,0.0007059075,0.001323803,0.001052269,0.0004228265],"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":[0.0003731533,0.0008351448,0.00234434,0.0003976403,0.0001140953,0.0001884505,0.0003826782,0.512674,0.002104517,0.3262844,0.005093491,0.1492081],"study_design_scores_gemma":[0.00006085751,0.00006669723,0.0000784982,0.0000271156,0.00002698728,0.00004254313,0.00006488853,0.9202683,0.0004852143,0.07819818,0.000669403,0.00001132728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02871303,0.0001167329,0.9632145,0.0004143445,0.00003314158,0.0002611605,0.00005717282,0.000197773,0.006992156],"genre_scores_gemma":[0.4311494,0.0002157041,0.5645545,0.0002193811,0.00005212335,0.0003876821,0.0001558437,0.0001058874,0.003159375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0094481,"threshold_uncertainty_score":0.03969961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061808013520027,"score_gpt":0.388235340305492,"score_spread":0.2820545389534893,"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."}}