{"id":"W4407021860","doi":"10.1016/j.jretconser.2025.104233","title":"Behind the screens. Privacy and advertising preferences in VoD —the role of privacy concerns, persuasion knowledge, and experience","year":2025,"lang":"en","type":"article","venue":"Journal of Retailing and Consumer Services","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Narodowe Centrum Nauki; Uniwersytet Warszawski; University of Alberta","keywords":"Persuasion; Internet privacy; Advertising; Consumer privacy; Information privacy; Business; Psychology; Computer science; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016489,0.00009410278,0.0001984535,0.00009240424,0.0005080679,0.0001514641,0.0004134013,0.00007513181,0.000005036595],"category_scores_gemma":[0.0002470944,0.00005777656,0.0000283857,0.0001751619,0.0004312618,0.0004910663,0.0002767658,0.0002442944,2.151138e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001679645,"about_ca_system_score_gemma":0.0001326418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525962,"about_ca_topic_score_gemma":0.003597291,"domain_scores_codex":[0.9989344,0.000260968,0.0003284953,0.0001490864,0.0001807821,0.0001462394],"domain_scores_gemma":[0.9990703,0.0003049846,0.0002687334,0.0001484328,0.0001523423,0.0000552159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001671165,0.00005343558,0.5353317,0.0001873602,0.0000621784,0.000001971931,0.1721049,0.000001096189,0.001322119,0.001022232,0.00002258668,0.2897233],"study_design_scores_gemma":[0.0025415,0.0003320407,0.4256948,0.003570886,0.0003463444,0.00005141394,0.3993969,0.002529395,0.006596108,0.03568781,0.1227554,0.0004973899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189035,0.0790429,0.00002069406,0.001104225,0.000102704,0.000143827,0.000001683065,0.000005435845,0.0006750856],"genre_scores_gemma":[0.9870574,0.01267885,0.0001271491,0.00004907453,0.00005105628,0.00000264901,3.083903e-7,0.0000027838,0.00003065933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2892259,"threshold_uncertainty_score":0.3907699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993960109437774,"score_gpt":0.3154771981094378,"score_spread":0.29553759701506,"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."}}