{"id":"W2907186477","doi":"10.1177/0022243718817004","title":"Attention, Information Processing, and Choice in Incentive-Aligned Choice Experiments","year":2018,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"Labex Ecodec; Agence Nationale de la Recherche","keywords":"Novelty; Bounded rationality; Preference; Incentive; Consumer choice; Task (project management); Information processing; Computer science; Process (computing); Econometrics; Economics; Microeconomics; Psychology; Cognitive psychology; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.009772183,0.00006137085,0.0001579004,0.0004363453,0.0001335495,0.0001138632,0.0001384256,0.00005513308,0.0002393617],"category_scores_gemma":[0.001495367,0.00006689521,0.00002767354,0.0001820657,0.0001160215,0.001124388,0.00008109784,0.000169071,0.0001058824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729188,"about_ca_system_score_gemma":0.00002577421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001111096,"about_ca_topic_score_gemma":0.00001888807,"domain_scores_codex":[0.9987671,0.0001315981,0.0006588296,0.000114678,0.0001008895,0.0002269312],"domain_scores_gemma":[0.999109,0.0002093976,0.0004453489,0.00007847894,0.00009991905,0.00005787461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007596568,0.00004399596,0.9920108,0.00003052276,0.000009290209,3.823951e-7,0.000544584,0.000003214706,0.0001313142,0.0001453448,0.0006089234,0.006395679],"study_design_scores_gemma":[0.0007792314,0.0000967115,0.9848902,0.00008615957,0.000001062139,0.000003362891,0.0004587075,0.001241487,0.00005956847,0.0005876519,0.01172914,0.00006668776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917719,0.0006101721,0.0001941933,0.0003229369,0.0001070753,0.0001031032,0.000002245443,0.000002486455,0.006885871],"genre_scores_gemma":[0.9989499,0.0001889924,0.0003721819,0.00005194824,0.0001641928,0.000004726021,0.00000201209,0.000006570371,0.0002594416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112021,"threshold_uncertainty_score":0.3386863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475535274904267,"score_gpt":0.3382531741478377,"score_spread":0.190699646657411,"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."}}