{"id":"W4212783203","doi":"10.3982/ecta17173","title":"Attention Please!","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Research Council; Social Sciences and Humanities Research Council of Canada; Labex Ecodec; Agence Nationale de la Recherche","keywords":"Decision maker; Value (mathematics); Economics; Computer science; Operations research; Mathematics; Management science; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001207856,0.0004140342,0.0003874617,0.0003218088,0.0004957627,0.00153271,0.0006977428,0.001341272,0.07062422],"category_scores_gemma":[0.02087593,0.0002640215,0.000293464,0.0003098486,0.0004662688,0.00182935,0.001017531,0.001239338,0.01676041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368483,"about_ca_system_score_gemma":0.0003205735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002423431,"about_ca_topic_score_gemma":0.001612322,"domain_scores_codex":[0.9992236,0.0002879513,0.00002018797,0.000180384,0.0001726664,0.0001151978],"domain_scores_gemma":[0.9889627,0.007668736,0.0008916099,0.00123438,0.0007048569,0.0005376927],"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":[0.007894047,0.003384748,0.04557432,0.0009689284,0.000338531,0.0013277,0.002958159,0.01150626,0.08906666,0.05573865,0.1168793,0.6643627],"study_design_scores_gemma":[0.001775575,0.01300994,0.1628034,0.0006951735,0.001040014,0.003131529,0.004162794,0.1938346,0.09573764,0.1973366,0.325899,0.000573685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7049776,0.001585541,0.03338299,0.009093735,0.001025663,0.0002840177,0.001246144,0.001979723,0.2464247],"genre_scores_gemma":[0.9188608,0.0005730668,0.00736402,0.003507286,0.0001944545,0.0001792407,0.0007090197,0.0005331404,0.06807894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07062422,"threshold_uncertainty_score":0.2362616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707611112672893,"score_gpt":0.2255015858647602,"score_spread":0.1984254747380313,"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."}}