{"id":"W2515014354","doi":"","title":"Социолингвистическая мотивация как фактор, определяющий тенденции стандартизации языковой подсистемы (на примере Канады)","year":2011,"lang":"ru","type":"article","venue":"Приволжский научный вестник","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001487592,0.0003165045,0.0003021386,0.001829071,0.002106733,0.004511975,0.0005130043,0.0007044869,0.01162661],"category_scores_gemma":[0.003194233,0.0003869001,0.0002612008,0.002025316,0.003844499,0.001485449,0.001678964,0.001014037,0.002902197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003336473,"about_ca_system_score_gemma":0.008631188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02843223,"about_ca_topic_score_gemma":0.04469075,"domain_scores_codex":[0.9979347,0.0003249962,0.00008564504,0.0002298749,0.001220981,0.0002037398],"domain_scores_gemma":[0.9986052,0.0003791981,0.0002181657,0.0002062331,0.0004653798,0.0001258337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001014385,0.00006243747,0.004824973,0.0004201411,0.00003113345,0.0006095648,0.008482997,0.001425013,0.0222962,0.6893597,0.005914982,0.2664714],"study_design_scores_gemma":[0.00004672487,0.0001136659,0.01318831,0.0003842061,0.00006532238,0.001407606,0.005925585,0.001747264,0.02130989,0.1804812,0.7751998,0.000130346],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1342594,0.0138146,0.1174964,0.006171031,0.000553399,0.0002924945,0.0006114718,0.0004272586,0.7263739],"genre_scores_gemma":[0.8698707,0.007034632,0.05845641,0.0002585196,0.0001149046,0.0002915626,0.0001853935,0.0001723903,0.06361551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9715677,"threshold_uncertainty_score":0.05653346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08804985477460145,"score_gpt":0.2094049800595093,"score_spread":0.1213551252849079,"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."}}