{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001420317,0.00007489083,0.0001089353,0.0004264675,0.00009621088,0.0002417262,0.00008791863,0.0000277718,0.005732288],"category_scores_gemma":[0.0001550896,0.0000824798,0.00007947998,0.001300998,0.00001098581,0.0005192875,0.0001096894,0.0000629282,0.00165353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001653586,"about_ca_system_score_gemma":0.00001284765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007939462,"about_ca_topic_score_gemma":0.00002453059,"domain_scores_codex":[0.9994206,0.000004322699,0.0001515453,0.0001981396,0.00006842326,0.0001569491],"domain_scores_gemma":[0.9996332,0.00004041093,0.00006935625,0.0001763497,0.00007129088,0.000009411275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007061496,0.00009525321,0.793483,0.00005305688,0.00002322194,0.0000420121,0.000005710594,0.000002703183,0.0003271537,0.005275238,0.009855295,0.1908304],"study_design_scores_gemma":[0.0002131722,0.000001206847,0.5830324,0.00000586339,0.00003489733,0.000002712094,0.00004323913,0.0002213992,0.000026657,0.0004139742,0.4158739,0.0001305843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7118466,0.0004507579,0.0002078654,0.0009728624,0.0006573486,0.00006231931,0.000001928777,0.0001070375,0.2856933],"genre_scores_gemma":[0.9962634,0.0000141553,0.00009784656,0.000794564,0.0004208756,0.00000638882,0.00003622116,0.00001160334,0.002354942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4060186,"threshold_uncertainty_score":0.9991238,"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."}}