{"id":"W7117515709","doi":"10.21608/fcihib.2025.394445.1149","title":"دراسة استقصائية حول اكتشاف الأشياء باستخدام التعلم الآلي الصغير على الأجهزة المضمنة: التقنيات والتطبيقات والتوجهات المستقبلية","year":2025,"lang":"ar","type":"article","venue":"النشرة المعلوماتية في الحاسبات والمعلومات","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002199216,0.0009518584,0.0007400989,0.001325302,0.002345144,0.006676814,0.0008916333,0.002281384,0.375415],"category_scores_gemma":[0.007801856,0.001027316,0.0007882231,0.00174533,0.002778449,0.003378805,0.00339907,0.005865238,0.4007977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853628,"about_ca_system_score_gemma":0.004085683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928416,"about_ca_topic_score_gemma":0.002698211,"domain_scores_codex":[0.9977546,0.0003559767,0.0002064024,0.0003143737,0.001064756,0.00030395],"domain_scores_gemma":[0.995743,0.001149103,0.0002923013,0.0006280293,0.001696493,0.0004911306],"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":[0.002426178,0.0005272928,0.003804747,0.002590567,0.00005944689,0.003707964,0.01443922,0.0004711878,0.1283224,0.06329909,0.320675,0.4596769],"study_design_scores_gemma":[0.00003184005,0.0001381086,0.003146295,0.0004340598,0.00001663593,0.001052644,0.003663784,0.0001031709,0.02202188,0.004220448,0.9651107,0.00006054588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.02939888,0.005999136,0.02337422,0.01339091,0.008450368,0.001170719,0.004218172,0.003404644,0.9105929],"genre_scores_gemma":[0.04526215,0.006203302,0.01853419,0.003035111,0.0008063071,0.001192057,0.002981284,0.003172751,0.9188129],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.375415,"threshold_uncertainty_score":0.8908947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0043308929865355,"score_gpt":0.206658601189727,"score_spread":0.2023277082031915,"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."}}