{"id":"W2946831735","doi":"10.1080/15228835.2019.1610140","title":"Privacy, Trust, and Manipulation in Online Relationships","year":2019,"lang":"en","type":"article","venue":"Journal of Technology in Human Services","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Internet privacy; Information privacy; Business; Computer science; Public relations; Knowledge management; Computer security; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003624473,0.0003029197,0.0002842663,0.001054327,0.001891541,0.003592242,0.0002737392,0.0007287619,0.002474044],"category_scores_gemma":[0.02700524,0.0002590204,0.0003447238,0.0007879212,0.002376604,0.002979401,0.001969893,0.001263618,0.0001825185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044224,"about_ca_system_score_gemma":0.0008771907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982998,"about_ca_topic_score_gemma":0.001811401,"domain_scores_codex":[0.9943123,0.003308621,0.0003882704,0.000284698,0.00130279,0.0004032961],"domain_scores_gemma":[0.9520333,0.02255249,0.01957009,0.002466539,0.001609571,0.001768028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005653063,0.001021403,0.8407384,0.0002775451,0.0003282,0.0008520832,0.06701365,0.0006457809,0.003169378,0.01183166,0.0003839534,0.07317262],"study_design_scores_gemma":[0.00004642709,0.0009257847,0.9234645,0.0003039397,0.0003340863,0.00252321,0.04202459,0.003783823,0.003216284,0.01360132,0.009644815,0.0001311774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852707,0.0007979135,0.001760897,0.0005661649,0.00001429816,0.00002800711,0.00002685608,0.000007207049,0.01152779],"genre_scores_gemma":[0.9992336,0.0001721181,0.0001860785,0.00003241939,0.00000936049,0.000004847811,0.000007110981,0.000001464006,0.0003529043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003624473,"threshold_uncertainty_score":0.01916826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251649673553788,"score_gpt":0.3115527557144928,"score_spread":0.286387788359114,"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."}}