{"id":"W2493037137","doi":"10.1080/08911762.2016.1185562","title":"Prioritizing Geo-References: A Content Analysis of the Websites of Leading Global Luxury Fashion Brands","year":2016,"lang":"en","type":"article","venue":"Journal of Global Marketing","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Optimal distinctiveness theory; Advertising; Relevance (law); Marketing; Country of origin; Value (mathematics); Content analysis; Brand names; Ethnic group; Business; Sociology; Psychology; Political science; Computer science; Social psychology; Social 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610529,0.0001280987,0.0004115494,0.0001682844,0.0001131023,0.0001086908,0.0003798406,0.00006003406,0.000163891],"category_scores_gemma":[0.0008898089,0.00007725481,0.0004383862,0.001174453,0.00009556095,0.0006314815,0.0001247276,0.00007679228,0.000007957063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172909,"about_ca_system_score_gemma":0.00004911183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008087136,"about_ca_topic_score_gemma":0.0001985192,"domain_scores_codex":[0.998194,0.00008152457,0.0009021367,0.0001454389,0.0005029606,0.0001739238],"domain_scores_gemma":[0.9971742,0.0001505228,0.001713058,0.0001915869,0.0007523205,0.00001833064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001710266,0.0000480197,0.9121119,0.00006593885,0.0002562478,0.00000144677,0.000007350648,0.000003349419,0.01533725,0.0007182286,0.0002010821,0.07107811],"study_design_scores_gemma":[0.0006308616,0.000004266112,0.9961327,0.0005251304,0.001289625,0.000006849241,0.0003153073,0.0001001372,0.00005783113,0.0001056797,0.0007368063,0.00009483813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966781,0.0002609302,0.0002819016,0.0005553548,0.000499755,0.00008526307,0.0000163125,0.0000110637,0.001611307],"genre_scores_gemma":[0.999594,0.00005773318,0.00006462129,0.00006847904,0.0001242882,0.000001015343,0.000001300291,0.000004228717,0.00008436242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08402071,"threshold_uncertainty_score":0.3150359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739577211019805,"score_gpt":0.273485125396458,"score_spread":0.2260893532862599,"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."}}