{"id":"W3154058571","doi":"10.30853/mns210132","title":"Modern Multiethnic States’ Activity to Preserve and Revitalize Indigenous Languages (by the Example of Canada and Russia)","year":2021,"lang":"en","type":"article","venue":"Manuscript","topic":"Sociopolitical Dynamics in Russia","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; State (computer science); Linguistic diversity; Originality; Political science; Diversity (politics); Linguistics; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003756257,0.00008874027,0.0001614842,0.00001278205,0.0003226313,0.00006059732,0.0001701601,0.0000613478,0.00003012846],"category_scores_gemma":[0.0003788086,0.00007321699,0.00002070561,0.0001259335,0.000244467,0.00007383543,0.0001582913,0.0001254012,4.502483e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373574,"about_ca_system_score_gemma":0.0003116844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9094142,"about_ca_topic_score_gemma":0.8944054,"domain_scores_codex":[0.9987237,0.0002544408,0.0001163466,0.0002265025,0.0003308165,0.0003481897],"domain_scores_gemma":[0.9991579,0.0003353586,0.0000432652,0.0002352994,0.00005465098,0.0001735221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001228431,0.0005774178,0.1727381,0.0008780023,0.0005007759,0.000296417,0.5285747,0.0001100639,0.01229149,0.1071218,0.08550413,0.09128425],"study_design_scores_gemma":[0.001411785,0.0002242819,0.693521,0.0002016097,0.0001859309,0.00002182041,0.08359002,0.002089132,0.00680475,0.09558085,0.1149032,0.00146553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897668,0.001478849,0.0001306792,0.003242087,0.0001037272,0.0002379215,0.0001112862,0.00001757336,0.004911082],"genre_scores_gemma":[0.9929667,0.0001277771,0.0001789115,0.0005342716,0.0000346673,0.00001640121,0.000006134393,0.00001059365,0.006124564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5207829,"threshold_uncertainty_score":0.2985702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831884409719532,"score_gpt":0.2989451613799117,"score_spread":0.2706263172827164,"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."}}