{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005992836,0.0001125681,0.000195232,0.0000949871,0.001169195,0.0009073372,0.0003562756,0.00005987788,0.00007099493],"category_scores_gemma":[0.00005473216,0.0001175464,0.00002754744,0.00001730902,0.0001777369,0.002423679,0.0003497919,0.00005365766,0.00003098069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366741,"about_ca_system_score_gemma":0.00001694091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002066559,"about_ca_topic_score_gemma":0.004847952,"domain_scores_codex":[0.9991847,0.00003946599,0.0003142246,0.0002122636,0.0000627434,0.000186644],"domain_scores_gemma":[0.999381,0.00003256889,0.0001726685,0.0003130643,0.00001114405,0.00008951956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002217122,0.001864497,0.2787481,0.000007431141,0.0000535976,0.00002549094,0.109347,0.0001061351,0.0001862166,0.078904,0.0007442401,0.5277961],"study_design_scores_gemma":[0.005983772,0.0007016893,0.7129279,0.00002147764,0.00001747226,0.000001536431,0.2165572,0.0005448104,0.0004923772,0.02407478,0.03780326,0.000873741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987103,0.00004145019,0.000006211046,0.0001066925,0.0009706035,0.0004312967,0.0000062568,0.00002099905,0.01131344],"genre_scores_gemma":[0.9989533,0.0001761617,0.0005532782,0.00007921548,0.0001548522,0.00003417577,0.000003065618,0.00000640173,0.00003952903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5269224,"threshold_uncertainty_score":0.899262,"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."}}