{"id":"W4206721657","doi":"10.1287/mnsc.2021.4037","title":"Complex Disclosure","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Incentive; Obfuscation; Private information retrieval; Computer science; Process (computing); Business; Microeconomics; Economics; 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":[0.01824514,0.0007064258,0.0005453533,0.001097089,0.001308697,0.004451358,0.001241266,0.002041234,0.019754],"category_scores_gemma":[0.1794875,0.0004408697,0.0005553357,0.001256784,0.001879382,0.005178676,0.003171368,0.002957903,0.001958169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243227,"about_ca_system_score_gemma":0.001145193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006315591,"about_ca_topic_score_gemma":0.0004084047,"domain_scores_codex":[0.9789039,0.01029109,0.002151866,0.001948951,0.005832911,0.0008713938],"domain_scores_gemma":[0.5999476,0.235766,0.07789442,0.07204237,0.01161838,0.002731234],"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":[0.00313319,0.001736619,0.127113,0.001862118,0.0008010619,0.0009476179,0.006680207,0.01182284,0.01403566,0.3337971,0.02308995,0.4749806],"study_design_scores_gemma":[0.001156498,0.003438996,0.0942831,0.001149299,0.0008027173,0.006560757,0.002890707,0.05382729,0.03756876,0.59625,0.2015502,0.0005216616],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6940079,0.006048999,0.1228075,0.01432339,0.0009032347,0.000778823,0.001888146,0.0007588928,0.1584831],"genre_scores_gemma":[0.9828938,0.0008332307,0.009396715,0.001330457,0.0002741338,0.0001263438,0.0002897212,0.00005024928,0.004805425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.019754,"threshold_uncertainty_score":0.09649068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573237943242256,"score_gpt":0.3660968049336344,"score_spread":0.3003644255012119,"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."}}