{"id":"W4399164020","doi":"10.1016/b978-0-323-95504-1.00028-4","title":"Pluricentric Languages: Retrospect and Prospect","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Computer science; History","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":[0.001843584,0.0003015993,0.0002972939,0.001439704,0.001081998,0.006102211,0.0007380022,0.001426493,0.006316908],"category_scores_gemma":[0.002868344,0.0002795833,0.0001034223,0.002658426,0.007148584,0.009182338,0.001864215,0.001864714,0.001196921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192595,"about_ca_system_score_gemma":0.001097333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00283058,"about_ca_topic_score_gemma":0.006559767,"domain_scores_codex":[0.9995784,0.0002148279,0.00002177238,0.00005751278,0.00008012198,0.00004732366],"domain_scores_gemma":[0.9976563,0.001647933,0.0001043936,0.0002066665,0.0002784497,0.0001062047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004236372,0.00001584994,0.000440549,0.0001907021,0.000004621887,0.0001122604,0.004162562,0.0001317528,0.0001958642,0.8408892,0.01363441,0.1401798],"study_design_scores_gemma":[0.000004988594,0.00002003131,0.001106168,0.0006138153,0.000003578595,0.0004300991,0.00312453,0.0001860453,0.0002293564,0.1760008,0.8182684,0.00001207316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02855868,0.4481331,0.007836564,0.0416958,0.001364576,0.00001037971,0.000203913,0.00009033996,0.4721067],"genre_scores_gemma":[0.534,0.3652147,0.005489155,0.00588164,0.003780925,0.0000477489,0.0004710639,0.0002768332,0.08483788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006316908,"threshold_uncertainty_score":0.02113211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521431604597643,"score_gpt":0.2271405239390185,"score_spread":0.2119262078930421,"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."}}