{"id":"W2323260661","doi":"10.1509/jmkr.48.4.755","title":"Multiple Routes to Self- versus Other-Expression in Consumer Choice","year":2011,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Priming (agriculture); Expression (computer science); Set (abstract data type); Psychology; Compromise; Consumer choice; Social psychology; Dimension (graph theory); Identification (biology); Risk-seeking; Cognitive psychology; Computer science; Microeconomics; Economics; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005357703,0.0004221657,0.0005144518,0.0009146224,0.0007510043,0.004480834,0.0005774488,0.001230099,0.003132439],"category_scores_gemma":[0.01424979,0.0004765466,0.0007412448,0.0006189175,0.004174559,0.004157501,0.002535969,0.002063196,0.0003013989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009117146,"about_ca_system_score_gemma":0.0004618532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002818158,"about_ca_topic_score_gemma":0.0003088329,"domain_scores_codex":[0.9951376,0.003051192,0.0001722838,0.0004957801,0.0009724884,0.0001706453],"domain_scores_gemma":[0.9886126,0.008417289,0.00118934,0.0009193362,0.0004890286,0.0003723956],"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":[0.002759899,0.001543246,0.06988335,0.00114018,0.000414777,0.0007353091,0.05341338,0.004672148,0.06771523,0.5191735,0.0008749926,0.277674],"study_design_scores_gemma":[0.0003436126,0.001361647,0.1385796,0.0003879179,0.0003185678,0.001276655,0.01385774,0.01989456,0.02884547,0.7845944,0.0102525,0.0002875165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156725,0.001347529,0.03976949,0.001888403,0.00003636854,0.0001138153,0.00002406165,0.00004382668,0.04110401],"genre_scores_gemma":[0.9888973,0.0003805681,0.009097797,0.0001666238,0.0000175129,0.00007170618,0.00001111306,0.00001630623,0.001341113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005357703,"threshold_uncertainty_score":0.02833456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.442212413190015,"score_gpt":0.4996332879537894,"score_spread":0.05742087476377439,"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."}}