{"id":"W2949204642","doi":"10.2139/ssrn.2930460","title":"Private Information in Futures Markets: An Experimental Study","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Futures contract; Financial economics; Business; Private information retrieval; Economics; Computer science; Computer security","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":[0.01036052,0.000989001,0.001306184,0.0006929999,0.001273664,0.003339066,0.001640557,0.003225641,0.01698321],"category_scores_gemma":[0.07029307,0.0008526515,0.0006574537,0.000619347,0.003310183,0.005574174,0.001865575,0.003384134,0.0008934963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008025564,"about_ca_system_score_gemma":0.001171131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001171519,"about_ca_topic_score_gemma":0.0005834228,"domain_scores_codex":[0.9961687,0.002019634,0.0003168148,0.0005303257,0.0006157991,0.0003487098],"domain_scores_gemma":[0.8282112,0.1429751,0.01009204,0.0146957,0.001610942,0.002414974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1433081,0.4080225,0.0945259,0.002542099,0.00119501,0.002967137,0.01513275,0.02226273,0.07219516,0.135131,0.005452227,0.09726544],"study_design_scores_gemma":[0.05892098,0.2513142,0.1559156,0.0005612639,0.002502026,0.003458813,0.01236327,0.1796162,0.04393778,0.2791201,0.01128461,0.001005196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965692,0.00006043747,0.0007439606,0.0001649459,0.00002794015,0.0001177891,0.00007127308,0.00000920642,0.00223531],"genre_scores_gemma":[0.9958816,0.0001172907,0.001418154,0.00008710894,0.00006749236,0.0002010838,0.0001304065,0.00001607959,0.002080739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01698321,"threshold_uncertainty_score":0.05681449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177005175550201,"score_gpt":0.3500591788259967,"score_spread":0.3282891270704947,"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."}}