{"id":"W4285092115","doi":"10.5430/wjel.v12n6p114","title":"The Sociolinguistic Salience of Linguistic Variables in Najdi Arabic","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deanship of Scientific Research, Prince Sattam bin Abdulaziz University; Prince Sattam bin Abdulaziz University","keywords":"Salience (neuroscience); Salient; Arabic; Linguistics; Convergence (economics); Variation (astronomy); Variable (mathematics); Psychology; Mathematics; Computer science; Cognitive psychology; Artificial intelligence; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003849341,0.00007273599,0.0002139321,0.0002023787,0.0004458601,0.00003173891,0.0005375939,0.00002800894,0.0004779244],"category_scores_gemma":[0.0372084,0.00005895487,0.0000905153,0.0005430331,0.0002237248,0.00002929145,0.00007713516,0.000435149,0.000001217199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727159,"about_ca_system_score_gemma":0.000485549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006634959,"about_ca_topic_score_gemma":0.001658227,"domain_scores_codex":[0.9980621,0.0005477287,0.0005426893,0.00009778966,0.0004902742,0.0002594114],"domain_scores_gemma":[0.997376,0.001303666,0.0005292976,0.0001387847,0.0005792278,0.00007303686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001001586,0.0001772311,0.007970425,0.00001600845,0.00004453662,0.0003037264,0.509366,0.0007399914,0.0001321056,0.4777814,0.002050987,0.001317536],"study_design_scores_gemma":[0.001349697,0.0001615035,0.00325688,0.00007565488,0.00007307473,0.00001376799,0.146497,0.0001021386,0.0000592242,0.02016873,0.8279989,0.0002434002],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5100062,0.008368566,0.0003441125,0.001614272,0.03037063,0.0005251731,0.00004594047,0.00007468779,0.4486504],"genre_scores_gemma":[0.9961674,0.00006422894,0.0003991901,0.0001664177,0.001765289,0.000004471432,0.000001217654,0.000008208451,0.00142362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8259479,"threshold_uncertainty_score":0.9709016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121910529073111,"score_gpt":0.2933763449603759,"score_spread":0.2811852920530648,"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."}}