{"id":"W2140793066","doi":"10.1086/524309","title":"Context Effects in Diverse-Category Brand Environments: The Influence of Target Product Positioning and Consumers' Processing Mind-Set","year":2008,"lang":"en","type":"article","venue":"Journal of Consumer Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Set (abstract data type); Product (mathematics); Contrast (vision); Context (archaeology); Similarity (geometry); Product category; Cognitive psychology; Computer science; Psychology; Artificial intelligence; Mathematics; Geography","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":[0.001292479,0.0003921105,0.0004294477,0.0006375247,0.0004717364,0.001749555,0.0004734795,0.0007605749,0.004123957],"category_scores_gemma":[0.01224995,0.0003431408,0.0003555855,0.0003118998,0.0009460692,0.001594662,0.00231565,0.0008284856,0.0002246664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119737,"about_ca_system_score_gemma":0.0001889909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008089573,"about_ca_topic_score_gemma":0.00133165,"domain_scores_codex":[0.9990712,0.0003657194,0.00003877487,0.0002496183,0.000209541,0.00006509219],"domain_scores_gemma":[0.9900044,0.007519914,0.001012369,0.0006734976,0.0003650206,0.0004248526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01313215,0.001878181,0.4333101,0.001276395,0.0006049709,0.001068186,0.01879465,0.003116593,0.4192771,0.01399697,0.0004421838,0.09310263],"study_design_scores_gemma":[0.0002171998,0.001922433,0.9643819,0.00007297079,0.0003038212,0.0004646888,0.002746469,0.003121868,0.0175795,0.008174988,0.0009361082,0.00007808355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954559,0.0001578068,0.0007744484,0.00004039237,0.000005377206,0.00001133607,0.00002020051,0.000008330851,0.003526295],"genre_scores_gemma":[0.9989342,0.00003433404,0.0008451398,0.00003660162,0.000004338935,0.00001251341,0.00001965911,0.000007020336,0.000106169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004123957,"threshold_uncertainty_score":0.01379603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06046322353269883,"score_gpt":0.3139910798099102,"score_spread":0.2535278562772114,"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."}}