{"id":"W3090038176","doi":"10.1177/2055668320950195","title":"Protecting the privacy of technology users who have cognitive disabilities: Identifying areas for improvement and targets for change","year":2020,"lang":"en","type":"article","venue":"Journal of Rehabilitation and Assistive Technologies Engineering","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital; University of Victoria; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Networks of Centres of Excellence of Canada; Government of Canada; AGE-WELL","keywords":"Internet privacy; Cognition; Computer security; Business; Cognitive disabilities; Computer science; Psychology; Psychiatry","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":[0.01657377,0.0002929843,0.0004253693,0.001477277,0.005942889,0.006326491,0.001926343,0.002411031,0.002922235],"category_scores_gemma":[0.05189281,0.0003041243,0.0004895619,0.001545995,0.005046195,0.006455322,0.007168369,0.002526709,0.0003712893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004041778,"about_ca_system_score_gemma":0.02584495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207134,"about_ca_topic_score_gemma":0.01214311,"domain_scores_codex":[0.9851989,0.00891294,0.0009772406,0.0008382155,0.002007626,0.002065114],"domain_scores_gemma":[0.9482611,0.03225597,0.00700517,0.001829883,0.005766477,0.004881348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001458378,0.0005926116,0.176192,0.002385802,0.00005546274,0.002961589,0.4341547,0.0005159877,0.001881335,0.01389095,0.00890961,0.3583141],"study_design_scores_gemma":[0.00002583942,0.0002766929,0.07529657,0.003661861,0.00006189357,0.002088747,0.8568001,0.001417366,0.001407547,0.0124481,0.04644765,0.00006769357],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8375779,0.006501468,0.01456088,0.1087007,0.0001881499,0.0005940261,0.0001716948,0.0001604362,0.03154489],"genre_scores_gemma":[0.9859307,0.003455859,0.007539237,0.001762483,0.00002350678,0.0001994499,0.00005622529,0.00000999872,0.001022575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01657377,"threshold_uncertainty_score":0.08765155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08304274382866725,"score_gpt":0.3893687578711075,"score_spread":0.3063260140424402,"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."}}