{"id":"W2945132513","doi":"10.3138/cjpe.43319","title":"Secure Data Handling: An Essential Competence for Evaluators","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Confidentiality; Harm; Competence (human resources); Computer security; Data collection; Information security; Data security; Internet privacy; Knowledge management; Business; Computer science; Public relations; Psychology; Sociology; Political science; Social psychology; Encryption","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007706864,0.00007166736,0.0001604566,0.0001924137,0.0004121108,0.0003568737,0.0007750592,0.00004856876,0.0004872714],"category_scores_gemma":[0.0009911299,0.00006734535,0.00007232663,0.0002398022,0.0001038757,0.0009912249,0.00001708404,0.0001116679,0.00001020009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505358,"about_ca_system_score_gemma":0.005144327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00460739,"about_ca_topic_score_gemma":0.1827796,"domain_scores_codex":[0.9981528,0.0003905924,0.000309008,0.000190842,0.000666072,0.0002906736],"domain_scores_gemma":[0.9980952,0.00008584395,0.0003023991,0.0003205964,0.000735641,0.0004603195],"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":[0.000020488,0.00007336008,0.02616245,0.00002217873,0.0001209253,0.000003952449,0.008028612,0.0007876832,0.0002430568,0.006102124,0.002573868,0.9558613],"study_design_scores_gemma":[0.002097489,0.0009358752,0.01448837,0.0002521274,0.001061192,0.0000123069,0.01479499,0.3954763,0.00007059538,0.01004127,0.560243,0.00052646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897559,0.0004833356,0.003283256,0.001436579,0.001430442,0.001937271,0.000127821,0.00001609079,0.001529313],"genre_scores_gemma":[0.9923098,0.00001035221,0.006678373,0.00005212696,0.0005915013,0.00001215189,0.0002824583,0.00000864959,0.00005455234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9553348,"threshold_uncertainty_score":0.9125815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2154059806144936,"score_gpt":0.4761247367849614,"score_spread":0.2607187561704678,"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."}}