{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001020425,0.00005145613,0.0001614808,0.0005177474,0.00008533774,0.00003202432,0.0002255296,0.0002010984,0.00001739525],"category_scores_gemma":[0.0002169293,0.00005029557,0.00002028578,0.0004018255,0.00009103747,0.0003208777,0.00004142074,0.0003847775,0.000002774832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000736659,"about_ca_system_score_gemma":0.00003487225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002022382,"about_ca_topic_score_gemma":0.004128605,"domain_scores_codex":[0.999211,0.0001011403,0.0003204755,0.000079069,0.0001561583,0.0001321367],"domain_scores_gemma":[0.9994867,0.0001164128,0.0002404825,0.00006833525,0.00005992931,0.00002810669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009132762,0.00004944809,0.9741112,0.00001955597,0.000003644498,0.000008049673,0.005088786,0.000008829456,0.00009916101,0.01827148,0.000004778588,0.002325917],"study_design_scores_gemma":[0.0004638363,0.00007079624,0.8647458,0.0002435731,0.000005120748,0.000004419835,0.03004585,0.00004226044,0.000009913504,0.1020149,0.002277496,0.00007604901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991396,0.0002299483,4.009853e-7,0.003492307,0.0001273141,0.00008654987,5.070781e-7,0.00002014395,0.004646845],"genre_scores_gemma":[0.9994084,0.00007496044,0.0002583366,0.0000316964,0.00006670022,8.389964e-7,9.529622e-7,0.000004386489,0.0001537776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1093654,"threshold_uncertainty_score":0.2303859,"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."}}