{"id":"W2463494407","doi":"10.22111/jmr.2016.2515","title":"الگوی صیانت از حریم خصوصی اطلاعاتی شهروندان در دولت الکترونیک برای کشورهای در حال توسعه","year":2016,"lang":"fa","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00755623,0.001331606,0.002323651,0.001245184,0.002130266,0.006717881,0.01307875,0.0008703903,0.1240549],"category_scores_gemma":[0.001403333,0.001041754,0.001006286,0.003745964,0.001658316,0.0127494,0.003643714,0.001121972,0.001309549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000950513,"about_ca_system_score_gemma":0.001328232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863173,"about_ca_topic_score_gemma":0.004918605,"domain_scores_codex":[0.9861314,0.001977942,0.002742277,0.001803933,0.00496972,0.002374787],"domain_scores_gemma":[0.9894083,0.002395554,0.003675316,0.001662603,0.001138076,0.00172013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005704824,0.001197186,0.6001685,0.0003138408,0.001224892,0.0001507306,0.005698034,0.00001190283,0.02337941,0.007141147,0.2735028,0.08664108],"study_design_scores_gemma":[0.002332598,0.00006320854,0.3580547,0.002264119,0.0004840799,0.0000162108,0.004588707,0.00002657614,0.009357995,0.01153104,0.6090871,0.002193674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6782511,0.04828039,0.0001208377,0.01621365,0.008359189,0.001917816,0.0005251899,0.000239615,0.2460922],"genre_scores_gemma":[0.9002611,0.06413585,0.0001380232,0.002359473,0.003346591,0.00006921633,0.00002416703,0.0001942098,0.02947138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3355843,"threshold_uncertainty_score":0.9999435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3140521473947911,"score_gpt":0.5838081561817486,"score_spread":0.2697560087869575,"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."}}