{"id":"W2026916269","doi":"10.1080/13614560701709861","title":"Designing for privacy in personal learning spaces","year":2007,"lang":"en","type":"article","venue":"New Review of Hypermedia and Multimedia","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Personally identifiable information; Grounded theory; Internet privacy; Space (punctuation); Information sharing; Group information management; Information privacy; Privacy by Design; Personal information management; Knowledge management; Data science; Information system; World Wide Web; Management information systems; Computer security; Qualitative research; Sociology","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":[0.003982263,0.000124999,0.0003845658,0.0002830771,0.00005630185,0.00004711651,0.0002526246,0.00005033193,0.0002059771],"category_scores_gemma":[0.003640534,0.00009236542,0.0001078973,0.0003782255,0.00006917655,0.0003907831,0.00006619207,0.0001253324,0.00003182639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001535848,"about_ca_system_score_gemma":0.00006314514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001636998,"about_ca_topic_score_gemma":0.00001667697,"domain_scores_codex":[0.9981291,0.00004869778,0.0007092271,0.0002226378,0.0006415475,0.0002487659],"domain_scores_gemma":[0.9978718,0.00143162,0.0002804958,0.0001208979,0.0001432314,0.0001519268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004011615,0.00002952108,0.07408087,0.0005975262,0.00000816287,0.000004679815,0.004355687,0.000001386148,0.001190575,0.00008014819,0.009553495,0.9100578],"study_design_scores_gemma":[0.003116908,0.0002466424,0.2417344,0.003745695,0.0001149688,0.00001425595,0.005464104,0.004603586,0.001173068,0.0003723879,0.7388975,0.0005165106],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091241,0.06651668,0.01547132,0.003193616,0.0007469608,0.002109344,0.0000132595,0.00006085464,0.002763904],"genre_scores_gemma":[0.8208919,0.03846049,0.1299246,0.003120406,0.0006970561,0.00008052847,0.00008764372,0.00004576903,0.006691646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9095413,"threshold_uncertainty_score":0.4358322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1953173299767476,"score_gpt":0.4418878966552672,"score_spread":0.2465705666785196,"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."}}