{"id":"W2116221922","doi":"","title":"INFORMATION TRANSMISSION IN ELIMINATION CONTESTS","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"CONTEST; Information transmission; Benchmark (surveying); Microeconomics; Economics; Adversary; Complete information; Political science; Computer science; Computer security; Law","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":[0.002347958,0.0002119324,0.0003837164,0.0007158228,0.0002810076,0.0002201881,0.000487077,0.0004715962,0.00005157686],"category_scores_gemma":[0.0002152095,0.0002623126,0.0001028164,0.0001509773,0.0004262778,0.0005640588,0.0003695374,0.0009867211,0.00002101579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003595581,"about_ca_system_score_gemma":0.0006011135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009502769,"about_ca_topic_score_gemma":0.01625777,"domain_scores_codex":[0.997601,0.0003370553,0.0007688812,0.0003694136,0.0002737587,0.0006498776],"domain_scores_gemma":[0.9990159,0.0002680871,0.0001870134,0.0003038589,0.0001117457,0.0001133875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009278125,0.0002721545,0.04796933,0.00008690984,0.00001359615,0.000008921926,0.02575104,0.003193117,0.00008973521,0.004485058,0.0001537954,0.9178836],"study_design_scores_gemma":[0.00622695,0.0004351441,0.4212706,0.002025792,0.00003327731,0.000003909395,0.09138526,0.01624452,0.001830353,0.02455278,0.43243,0.00356142],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6256735,0.0002353828,0.000002942512,0.001027636,0.000328725,0.001125526,0.0000292646,0.00004244694,0.3715346],"genre_scores_gemma":[0.9914121,0.006709416,0.0004252505,0.00004648543,0.0001045297,0.0003411546,0.0001244383,0.00002150981,0.0008151401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9143221,"threshold_uncertainty_score":0.9999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04318853842603173,"score_gpt":0.3779494269867582,"score_spread":0.3347608885607265,"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."}}