{"id":"W2596035555","doi":"10.1002/mde.2868","title":"Private information in futures markets: An experimental study","year":2017,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Futures contract; Private information retrieval; Quality (philosophy); Inside information; Information quality; Economics; Financial economics; Microeconomics; Business; Actuarial science; Information system; Computer science; Computer security; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007935175,0.001061316,0.001009806,0.0004827665,0.0009268638,0.00182527,0.001024244,0.002341324,0.007121064],"category_scores_gemma":[0.03481049,0.0008877322,0.0005800961,0.0003391926,0.002192579,0.002560284,0.001217668,0.002397292,0.0004600135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003351191,"about_ca_system_score_gemma":0.0005349941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003928686,"about_ca_topic_score_gemma":0.0002540277,"domain_scores_codex":[0.995605,0.002189758,0.0004726381,0.0006211888,0.000785881,0.0003255962],"domain_scores_gemma":[0.9360752,0.0514877,0.004762614,0.005628818,0.0009988486,0.001046881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.06905309,0.3858375,0.07732212,0.002749003,0.001152462,0.002872958,0.04670078,0.008783584,0.2265604,0.03847909,0.003746883,0.1367422],"study_design_scores_gemma":[0.04014012,0.4167979,0.2091764,0.0006595656,0.001573658,0.004645299,0.01228175,0.06570181,0.1382872,0.08334655,0.02629017,0.001099647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964226,0.00007657897,0.001161235,0.0001442633,0.00002891139,0.0002835337,0.00005608389,0.00001405821,0.001812782],"genre_scores_gemma":[0.9915616,0.0001884666,0.004854351,0.0002231071,0.00008252821,0.0008302697,0.00013831,0.00001910041,0.002102245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007935175,"threshold_uncertainty_score":0.04196572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307728223660793,"score_gpt":0.3371632778599322,"score_spread":0.3063904554938529,"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."}}