{"id":"W3198384647","doi":"10.52098/acj.202141","title":"Cloud computing architecture for Tagging Arabic Text Using Hybrid Model","year":2021,"lang":"en","type":"article","venue":"Applied computing Journal","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Cloud computing; Natural language processing; Artificial intelligence; Syntax; Semantics (computer science); Arabic; Architecture; Information extraction; The Internet; Information retrieval; Speech recognition; World Wide Web; Programming language; Linguistics; Operating system","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":[0.0005754207,0.0007331811,0.0006623817,0.0009787476,0.001310222,0.001683956,0.001840952,0.000768263,0.002744791],"category_scores_gemma":[0.0009869246,0.0002671044,0.0007623592,0.00150722,0.0003283356,0.002289042,0.001040681,0.000522596,0.001922993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453339,"about_ca_system_score_gemma":0.002083295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233642,"about_ca_topic_score_gemma":0.01831664,"domain_scores_codex":[0.9994523,0.00008069024,0.00005585956,0.0001645316,0.0001290123,0.0001176274],"domain_scores_gemma":[0.9994755,0.00007164418,0.00003782771,0.00009720526,0.0002604058,0.00005735881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003549515,0.001179485,0.01700971,0.0004904491,0.0004507469,0.001961258,0.0008640536,0.2352177,0.05643082,0.03452459,0.05926242,0.5890592],"study_design_scores_gemma":[0.00003542285,0.00009104524,0.0007647678,0.00001599842,0.00004854143,0.0001519733,0.0001010365,0.9757181,0.009945155,0.004633844,0.008452644,0.00004140486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1137743,0.00113105,0.8491025,0.001226606,0.0004748256,0.0005752664,0.001129117,0.02045926,0.01212716],"genre_scores_gemma":[0.7570722,0.0006511044,0.2269026,0.0005704963,0.00008764777,0.000412707,0.002216599,0.0002978096,0.01178888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02233642,"threshold_uncertainty_score":0.04441285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939270125248561,"score_gpt":0.2786751919398934,"score_spread":0.2592824906874078,"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."}}