{"id":"W4376270109","doi":"10.1002/mar.21831","title":"Luxury is what you say: Analyzing electronic word‐of‐mouth marketing of luxury products using artificial intelligence and machine learning","year":2023,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Advertising; Prestige; Benchmark (surveying); Diversity (politics); Artificial intelligence; Computer science; Marketing; Psychology; Business; Sociology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0136158,0.0001959818,0.0004094185,0.0002949169,0.0006423373,0.0001178033,0.0001916975,0.0002045188,0.00005613363],"category_scores_gemma":[0.008514892,0.0002133073,0.00007187187,0.001148861,0.0007027873,0.0003639418,0.0001468957,0.000460375,0.000002772041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000031422,"about_ca_system_score_gemma":0.0001185086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001684099,"about_ca_topic_score_gemma":0.00008906713,"domain_scores_codex":[0.9965646,0.001310986,0.0005627917,0.0005508595,0.0002911098,0.0007196118],"domain_scores_gemma":[0.9971887,0.001977355,0.0004069507,0.0001606555,0.0001526579,0.0001136343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005386663,0.00005005336,0.02870969,0.0002441011,0.00007804963,0.000007640406,0.01221369,0.00001400833,0.002123227,0.001052587,0.00005435187,0.9549139],"study_design_scores_gemma":[0.002425629,0.0008131596,0.4186511,0.01050846,0.001210564,0.0001228714,0.399244,0.01616073,0.005029734,0.1007869,0.03946798,0.005578931],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872949,0.004768319,0.0000709087,0.001964745,0.0005504549,0.0002155174,0.000003965622,0.0001064482,0.005024793],"genre_scores_gemma":[0.9909318,0.007914574,0.0004085369,0.00008587714,0.0002534043,0.00000547352,0.000005995106,0.00002651825,0.0003678095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.949335,"threshold_uncertainty_score":0.9998368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05072636768950618,"score_gpt":0.3420924793681303,"score_spread":0.2913661116786241,"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."}}