{"id":"W4243656117","doi":"10.2139/ssrn.2916337","title":"Raffles","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Computer science; Political science","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":[0.003319715,0.00009169659,0.000213521,0.00007782658,0.0006874372,0.0002466005,0.0005517057,0.00005863552,0.00009199005],"category_scores_gemma":[0.0002119621,0.00009430892,0.0001151418,0.00002265507,0.00005315705,0.0002769505,0.00003829076,0.0007806157,0.0009345071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002426052,"about_ca_system_score_gemma":0.0001327738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009193292,"about_ca_topic_score_gemma":0.0001278405,"domain_scores_codex":[0.9982337,0.00001765165,0.0003197695,0.0001586155,0.00002550124,0.001244755],"domain_scores_gemma":[0.9989918,0.00001683093,0.000560786,0.0003603532,0.00001695107,0.00005320649],"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":[0.000008522461,0.00001507124,0.02327094,0.000002480016,0.00005548741,0.000001446687,0.0000724501,0.000004068074,0.00001154802,0.9742828,0.00007335344,0.00220184],"study_design_scores_gemma":[0.0003991504,0.00007697511,0.005605516,0.00001083064,0.000003249534,0.0001702013,0.0002214125,0.00005665006,0.00002096667,0.9757561,0.01754447,0.000134456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689368,0.007098942,0.009147826,0.00184228,0.001433216,0.00009899259,0.000008657412,0.00004298171,0.1113904],"genre_scores_gemma":[0.9853885,0.0008472987,0.00002855469,0.00003985691,0.000503078,0.00000184106,5.29532e-7,0.00001618754,0.01317415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164517,"threshold_uncertainty_score":0.9998434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557335192532239,"score_gpt":0.2343699793679493,"score_spread":0.2087966274426269,"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."}}