{"id":"W2735443061","doi":"10.1145/3097286.3097334","title":"When private and professional lives meet","year":2017,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Politics; Social media; Internet privacy; Public relations; Private life; Computer science; Psychology; Political science; World Wide Web; Law","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":[0.002134381,0.000212136,0.0002774598,0.0008600561,0.005872567,0.006244522,0.0004994696,0.001590489,0.01784965],"category_scores_gemma":[0.0141741,0.0001944878,0.0002376647,0.0007405776,0.002688254,0.005121544,0.005532911,0.001750427,0.00335848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143089,"about_ca_system_score_gemma":0.001248812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002358319,"about_ca_topic_score_gemma":0.004128046,"domain_scores_codex":[0.9938436,0.003344886,0.0002105496,0.0005266218,0.001075942,0.0009984694],"domain_scores_gemma":[0.9876897,0.002711812,0.002791746,0.0009648885,0.001170078,0.004671628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004838723,0.0003106879,0.170232,0.0002718556,0.00006888249,0.002185669,0.597882,0.000125537,0.002180585,0.02410358,0.07817361,0.1239818],"study_design_scores_gemma":[0.00001210753,0.000147673,0.06347554,0.0001343828,0.00001647903,0.001141584,0.6851421,0.000111525,0.0004458961,0.004969776,0.2443521,0.00005087523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7824076,0.001706403,0.002203877,0.02696197,0.001347129,0.000093999,0.000726701,0.00009713855,0.1844552],"genre_scores_gemma":[0.9751449,0.0004162822,0.0003209845,0.002974697,0.0002410525,0.00006032955,0.0002333302,0.00003429753,0.02057412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01784965,"threshold_uncertainty_score":0.05971307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04227436754347236,"score_gpt":0.3424429461160302,"score_spread":0.3001685785725579,"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."}}