{"id":"W3193557437","doi":"","title":"دور المعايير الجزائرية للتدقيق في تقليص فجوة توقعات التدقيق -دراسة إستطلاعية لآراء محافظي الحسابات والخبراء المحاسبين في الجزائر العاصمة-","year":2021,"lang":"ar","type":"article","venue":"مجلة الإستراتيجية والتنمية","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001973649,0.0007196022,0.0003511462,0.001108225,0.002699916,0.006203199,0.0006459336,0.001719931,0.1673227],"category_scores_gemma":[0.004434872,0.0005345856,0.0003739411,0.001276268,0.002907475,0.002015047,0.002117407,0.00426558,0.08868252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002901454,"about_ca_system_score_gemma":0.005049337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004380242,"about_ca_topic_score_gemma":0.004786691,"domain_scores_codex":[0.9971035,0.000470497,0.0002085627,0.0002481857,0.001601793,0.0003673401],"domain_scores_gemma":[0.9964725,0.0009353884,0.0003573209,0.0003321286,0.001535631,0.0003669579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009869988,0.0005818525,0.004589769,0.001571767,0.00005471463,0.002606481,0.02368745,0.0008280941,0.08042076,0.3754137,0.1022312,0.4070272],"study_design_scores_gemma":[0.00002388422,0.0001377684,0.01115976,0.0004479037,0.00001773023,0.001211523,0.01418414,0.0001537624,0.02089983,0.02021871,0.9314871,0.00005789219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04034656,0.002610369,0.009950955,0.008359931,0.002382489,0.000311377,0.0005082501,0.000374714,0.9351553],"genre_scores_gemma":[0.1833095,0.004893279,0.01471905,0.002919387,0.0008402951,0.0007282405,0.0008766595,0.0009402439,0.7907734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1673227,"threshold_uncertainty_score":0.55975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007995768400011209,"score_gpt":0.1954922767233708,"score_spread":0.1874965083233596,"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."}}