{"id":"W4321615646","doi":"10.1111/caje.12649","title":"Search less for a better price","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Price dispersion; Search cost; Ex-ante; Microeconomics; Economics; Dispersion (optics); Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00123075,0.0004319212,0.001341576,0.00110841,0.0007999487,0.003075327,0.0006204498,0.002191658,0.03449407],"category_scores_gemma":[0.01012964,0.0003949984,0.000586587,0.0008916435,0.001220348,0.005398388,0.001094939,0.00135806,0.002300017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008371091,"about_ca_system_score_gemma":0.0007550141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249262,"about_ca_topic_score_gemma":0.001086739,"domain_scores_codex":[0.9990764,0.0003071571,0.00007722928,0.0002246518,0.0001620263,0.0001527008],"domain_scores_gemma":[0.9890674,0.006585156,0.002075616,0.001030477,0.0005690411,0.0006723671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.007362973,0.003750932,0.09420332,0.003033659,0.001329758,0.002100654,0.001678819,0.1221006,0.04277474,0.3670591,0.02333399,0.3312713],"study_design_scores_gemma":[0.0009514108,0.002891695,0.07118803,0.0004166643,0.0006451971,0.004266711,0.003352652,0.2402768,0.008579793,0.6474022,0.0196949,0.0003339656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792412,0.002264243,0.03937111,0.006440009,0.0001256781,0.000112534,0.0003093164,0.0001905496,0.0719454],"genre_scores_gemma":[0.989744,0.0002707697,0.005161232,0.0003550356,0.00005457561,0.00001539292,0.0000584365,0.00002122069,0.004319345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03449407,"threshold_uncertainty_score":0.1153942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1875056074026528,"score_gpt":0.211593476307877,"score_spread":0.02408786890522416,"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."}}