{"id":"W2968200530","doi":"10.1515/9780748677382","title":"Arabic Corpus Linguistics","year":2019,"lang":"en","type":"book","venue":"Edinburgh University Press eBooks","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arabic; Linguistics; Corpus linguistics; Grammar; Computer science; Perspective (graphical); Modern Standard Arabic; Artificial intelligence; Natural language processing; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600016,0.0008031314,0.0006148308,0.007820024,0.003709141,0.006192992,0.0009773565,0.001095647,0.04384515],"category_scores_gemma":[0.005100808,0.0003995805,0.0003415353,0.009556325,0.002370413,0.005679228,0.002225274,0.001959458,0.01935626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002632287,"about_ca_system_score_gemma":0.002165347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002662729,"about_ca_topic_score_gemma":0.003676924,"domain_scores_codex":[0.9984603,0.0005080672,0.0001699463,0.0001930152,0.0006007816,0.00006791798],"domain_scores_gemma":[0.9976157,0.001158888,0.0001602034,0.0002687204,0.0006931643,0.0001033454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002192145,0.00001824646,0.0002293734,0.001052586,0.00001091584,0.0002411171,0.004524602,0.0003298392,0.0006818737,0.313495,0.4173543,0.2620402],"study_design_scores_gemma":[9.835049e-7,0.000002264886,0.00009989911,0.0002444427,0.000001225759,0.0001616295,0.0002867188,0.00009522517,0.0001013433,0.009674335,0.9893283,0.000003650608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002078436,0.09031247,0.03140234,0.01320093,0.006289409,0.000309513,0.00233577,0.001290612,0.8527806],"genre_scores_gemma":[0.06147366,0.1477281,0.07334235,0.00689105,0.005983469,0.001095531,0.007516277,0.002824847,0.6931448],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04384515,"threshold_uncertainty_score":0.1466766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930044139325905,"score_gpt":0.1990128008650545,"score_spread":0.1697123594717955,"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."}}