{"id":"W2886593573","doi":"10.1177/0002764218791287","title":"Privacy and Data Management: The User and Producer Perspectives","year":2018,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; University of Texas at Austin","keywords":"Internet privacy; Information privacy; Data management; Business; Computer security; Computer science; Knowledge management; Data science; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.06349073,0.0008526662,0.00199067,0.005837685,0.01088117,0.0509723,0.003039094,0.0166133,0.009349259],"category_scores_gemma":[0.07374021,0.001230303,0.001506913,0.009305778,0.03503168,0.06787486,0.01494466,0.0192874,0.001315793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007092176,"about_ca_system_score_gemma":0.008059037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511314,"about_ca_topic_score_gemma":0.002126469,"domain_scores_codex":[0.9035874,0.0772751,0.004078753,0.003389034,0.00933627,0.002333464],"domain_scores_gemma":[0.7772477,0.2034026,0.004353341,0.006704141,0.005367849,0.002924327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002713864,0.00004945782,0.001381113,0.0003624415,0.00001774071,0.0002570419,0.04785285,0.0001227009,0.0001460066,0.9067575,0.02214376,0.02088207],"study_design_scores_gemma":[0.00001795618,0.00007034486,0.001106536,0.002088801,0.00003918445,0.000756793,0.0724178,0.0008781192,0.0003755058,0.3255783,0.5966114,0.00005922298],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01327602,0.06350168,0.04416193,0.7834401,0.008835455,0.00008120207,0.0001460577,0.0001544562,0.086403],"genre_scores_gemma":[0.5959842,0.1572436,0.03644436,0.1360398,0.043377,0.0006223011,0.0002651093,0.0008837877,0.0291398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06349073,"threshold_uncertainty_score":0.3357751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529119809678731,"score_gpt":0.3825509370310951,"score_spread":0.329638956063222,"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."}}