{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846941,0.0001319819,0.000264106,0.0006213063,0.0004059453,0.0001573231,0.0002957469,0.00005313268,0.00008462976],"category_scores_gemma":[0.0004592963,0.0001012913,0.0000600022,0.0004675981,0.0008315857,0.00121197,0.0001242134,0.0005071523,0.0000412878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004089542,"about_ca_system_score_gemma":0.0001153583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002682992,"about_ca_topic_score_gemma":0.00002970717,"domain_scores_codex":[0.9981022,0.000131014,0.0005788347,0.000208672,0.0007081492,0.0002710814],"domain_scores_gemma":[0.9986043,0.0002656802,0.0004469185,0.0001940499,0.0004582662,0.00003078552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003204856,0.0001997258,0.8774208,0.0002989763,0.00005598633,0.00006814279,0.0008825852,0.000035175,0.034713,0.0001271567,0.000592018,0.08528592],"study_design_scores_gemma":[0.001621685,0.00001338668,0.9867842,0.0002934228,0.0000614844,0.00008811783,0.0008185052,0.00007704428,0.001740588,0.0002385372,0.008130146,0.0001328522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942541,0.004638057,0.00002563301,0.0004736217,0.00009477035,0.0003941586,0.00000161434,0.000004146983,0.0001139339],"genre_scores_gemma":[0.99918,0.000482167,0.00004761378,0.00008436712,0.00005782077,0.00001528096,0.00000323597,0.00001252052,0.0001170298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1093634,"threshold_uncertainty_score":0.413054,"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."}}