{"id":"W3194265792","doi":"10.1108/ejm-07-2020-0565","title":"A neurobehavioral account of differential consumer responses to price and in-store display between un/healthy food","year":2021,"lang":"en","type":"article","venue":"European Journal of Marketing","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Salience (neuroscience); Marketing; Heuristics; Perception; Value (mathematics); Consumption (sociology); Consumer behaviour; Food choice; Originality; Product (mathematics); Business; Advertising; Psychology; Economics; Social psychology; Cognitive psychology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005444062,0.0003497184,0.0002197282,0.000432304,0.0002734199,0.001166625,0.0004142681,0.0005340863,0.004189841],"category_scores_gemma":[0.001952872,0.0002025128,0.0004331174,0.0002438707,0.0006885851,0.0007043694,0.0005932582,0.0005124738,0.000210625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006002994,"about_ca_system_score_gemma":0.0004226805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504832,"about_ca_topic_score_gemma":0.003406547,"domain_scores_codex":[0.9998436,0.00004456518,0.000005633086,0.00005217348,0.00003077822,0.00002326128],"domain_scores_gemma":[0.9991646,0.0003486317,0.0002278932,0.0001071689,0.00006779925,0.00008400242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003179042,0.003284297,0.6741359,0.0005960218,0.0009334351,0.001782878,0.003521216,0.02565473,0.06854593,0.07180836,0.002550547,0.1440077],"study_design_scores_gemma":[0.0000630416,0.0007674138,0.9023691,0.00004280416,0.0001676912,0.0004320994,0.001005722,0.02920678,0.002753563,0.06092115,0.002230748,0.00004001355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710971,0.0004551982,0.00949623,0.001271711,0.0000449194,0.00004244027,0.0001867997,0.00004328917,0.01736238],"genre_scores_gemma":[0.9966058,0.0001265798,0.002038424,0.0001637837,0.00001374351,0.00001480229,0.00005762423,0.000005385097,0.0009738209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004189841,"threshold_uncertainty_score":0.01401645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03398235968163673,"score_gpt":0.2948147246434693,"score_spread":0.2608323649618326,"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."}}