{"id":"W4297347652","doi":"10.3390/app12199702","title":"The Role of Privacy Fatigue in Privacy Paradox: A PSM and Heterogeneity Analysis","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Internet privacy; Information privacy; Privacy protection; Matching (statistics); Cynicism; Psychology; Computer science; Political science; Medicine","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":[0.03579081,0.0005799903,0.001282313,0.004240671,0.001804343,0.002905163,0.001928599,0.001558076,0.005779822],"category_scores_gemma":[0.08591184,0.0003379316,0.006338804,0.002640418,0.003323348,0.003678404,0.003535463,0.002268646,0.0001959957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783726,"about_ca_system_score_gemma":0.003069932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005476664,"about_ca_topic_score_gemma":0.002100225,"domain_scores_codex":[0.9721168,0.01731762,0.001676461,0.003830429,0.003160612,0.001898007],"domain_scores_gemma":[0.8750727,0.09990431,0.01053307,0.009797544,0.003129713,0.00156267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005479636,0.0004675586,0.8749157,0.0003190544,0.003025916,0.001387677,0.007141182,0.006098125,0.0008550178,0.06370296,0.001010568,0.04052836],"study_design_scores_gemma":[0.0002703945,0.001552768,0.6313457,0.0002583158,0.006277581,0.001987639,0.01890193,0.1961099,0.001535361,0.137444,0.004117527,0.0001988474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957995,0.0008887532,0.0954812,0.00204483,0.00007757837,0.0007624027,0.000272582,0.00008068643,0.004592507],"genre_scores_gemma":[0.9975484,0.00005292051,0.001902116,0.00004979027,0.00002322442,0.0001158492,0.00004161232,0.000005243829,0.0002608495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03579081,"threshold_uncertainty_score":0.1892822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634008905341565,"score_gpt":0.3173371356851056,"score_spread":0.28099704663169,"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."}}