{"id":"W2903408201","doi":"10.2139/ssrn.3152537","title":"Clarity Trumps Content: An Experiment on Information Acquisition in Beauty Contests","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"CLARITY; Beauty; Content (measure theory); Computer science; Internet privacy; Aesthetics; Art; Mathematics; Biology","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":[0.005140994,0.001506569,0.001521089,0.0006041595,0.002099295,0.004396885,0.001642222,0.003770245,0.03107134],"category_scores_gemma":[0.03776358,0.001209472,0.0005744819,0.000582164,0.002792329,0.004233846,0.002739105,0.004967534,0.002117617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007522054,"about_ca_system_score_gemma":0.001291658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125445,"about_ca_topic_score_gemma":0.001138044,"domain_scores_codex":[0.9972512,0.0009124174,0.0002062708,0.0004941439,0.0007370536,0.0003989145],"domain_scores_gemma":[0.9449888,0.03981401,0.005398111,0.004970559,0.0006216989,0.004206732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.1756852,0.1831066,0.04168975,0.003093565,0.00121668,0.001708444,0.01705467,0.01117523,0.3516976,0.09205594,0.01226852,0.1092479],"study_design_scores_gemma":[0.07773413,0.1667454,0.2616308,0.0006222143,0.001986097,0.002114072,0.007710973,0.1052989,0.07701867,0.2691113,0.02857086,0.001456532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911219,0.00006862851,0.0007235865,0.0004323253,0.00009177127,0.0001241485,0.00006822438,0.00003955448,0.007329864],"genre_scores_gemma":[0.9923929,0.00007058492,0.002260922,0.0004240335,0.0001058246,0.0001888592,0.0001394192,0.00006940411,0.00434802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03107134,"threshold_uncertainty_score":0.1039439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03728377980692203,"score_gpt":0.3349117478873663,"score_spread":0.2976279680804443,"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."}}