{"id":"W4286517983","doi":"10.18280/ria.360315","title":"Arabic Language Modeling Based on Supervised Machine Learning","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Misinformation; Arabic; Natural language processing; Machine translation; Python (programming language); Sentiment analysis; Supervised learning; Support vector machine; Machine learning; Artificial neural network; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00151922,0.0009929282,0.0006154525,0.001694795,0.0006453011,0.001514323,0.001173405,0.0008277079,0.005531263],"category_scores_gemma":[0.006933968,0.0003805098,0.001299422,0.0008392204,0.0005516194,0.001628823,0.0009025761,0.001823757,0.003441882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009059121,"about_ca_system_score_gemma":0.001099057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007403133,"about_ca_topic_score_gemma":0.006306395,"domain_scores_codex":[0.9988244,0.0005370886,0.0001005879,0.0002726921,0.0001799496,0.00008523035],"domain_scores_gemma":[0.9956706,0.002919787,0.0002430502,0.0002696298,0.0008115068,0.0000854434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004681335,0.0003759138,0.005700799,0.0002167415,0.0001984769,0.0004213111,0.0005877189,0.5116825,0.004571224,0.01803755,0.01262548,0.4451142],"study_design_scores_gemma":[0.000004355237,0.00001197853,0.0001694252,0.000005897813,0.000006305852,0.00002124233,0.00002113773,0.9941133,0.000765298,0.003917184,0.0009582702,0.000005553009],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05057737,0.000460153,0.9355552,0.001195364,0.0002308232,0.0002608109,0.001141218,0.005001306,0.005577668],"genre_scores_gemma":[0.634306,0.0003978602,0.3493595,0.0004474176,0.0002775199,0.0005653091,0.002961452,0.0003718707,0.01131305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007403133,"threshold_uncertainty_score":0.0185039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05885087019546301,"score_gpt":0.313653414402295,"score_spread":0.254802544206832,"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."}}