{"id":"W88221613","doi":"10.1257/mic.20130118","title":"Inferring Rationales from Choice: Identification for Rational Shortlist Methods","year":2015,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Axiom; Identification (biology); Mathematical economics; Variety (cybernetics); Preference; Maximization; Revealed preference; Utility maximization; Binary relation; Economics; Computer science; Microeconomics; Econometrics; Mathematics; Artificial intelligence; Biology; Discrete mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001956669,0.0002865484,0.0006595555,0.0002739449,0.0002574268,0.0004011894,0.0004348361,0.00009553746,0.0004647972],"category_scores_gemma":[0.0002183296,0.0003856754,0.0002750609,0.00005183845,0.0002387285,0.00110791,0.0000782867,0.0002239132,0.001387297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002061546,"about_ca_system_score_gemma":0.0002051605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005589225,"about_ca_topic_score_gemma":0.0001998356,"domain_scores_codex":[0.9971707,0.00005852277,0.001728384,0.0006273311,0.00002605928,0.0003889524],"domain_scores_gemma":[0.997142,0.0002968675,0.001847348,0.0003657304,0.00004142068,0.0003066798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001731355,0.0002221084,0.7935449,0.00001406751,0.0009020845,0.000001328873,0.00161959,0.04489272,0.001603851,0.1019893,0.01979607,0.03524088],"study_design_scores_gemma":[0.00470322,0.0003336,0.2952312,0.00001940592,0.0001008522,0.00009339832,0.002683434,0.06570718,0.002183394,0.2575909,0.3695679,0.001785502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8291792,0.0009864527,0.1624047,0.001884423,0.002061384,0.0003938964,0.0007586704,0.00003859455,0.002292707],"genre_scores_gemma":[0.9182678,0.0003298184,0.07735585,0.0009040406,0.001683454,0.0001132628,0.0005380078,0.00009346155,0.0007142313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4983137,"threshold_uncertainty_score":0.9998595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631140616317464,"score_gpt":0.3269421823394811,"score_spread":0.1638281207077348,"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."}}