{"id":"W1991549410","doi":"10.1163/000000008792525309","title":"Relabelling: A Major Process in Language Contact","year":2008,"lang":"en","type":"article","venue":"Journal of Language Contact","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Language contact; Computer science; Process (computing); Focus (optics); Agglutinative language; Linguistics; Artificial intelligence; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009737615,0.00009681637,0.0002956707,0.0001952173,0.0001393369,0.00002561398,0.0002626467,0.0001171945,0.0005479992],"category_scores_gemma":[0.002023225,0.0000824114,0.00009660751,0.0002347597,0.00004717233,0.0001637211,0.00001244052,0.0003318,0.0000287831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133846,"about_ca_system_score_gemma":0.0004891892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673939,"about_ca_topic_score_gemma":0.001282149,"domain_scores_codex":[0.9985974,0.00021076,0.0004514294,0.0001116295,0.0003614322,0.0002672914],"domain_scores_gemma":[0.9989293,0.0002270044,0.0003912394,0.0001033406,0.0002018632,0.0001472966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003925848,0.0004439323,0.06159399,0.00003872859,0.0001138056,0.01531971,0.8922721,0.00001335907,0.01276981,0.01279208,0.002344442,0.001905528],"study_design_scores_gemma":[0.03070284,0.002528879,0.215437,0.001115555,0.000402241,0.003805259,0.6054295,0.0002119522,0.0133562,0.002401997,0.1223367,0.002271983],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801461,0.001090051,0.0001353373,0.0007991816,0.000593179,0.0001260019,0.000003809345,0.0000217125,0.0170846],"genre_scores_gemma":[0.9970387,0.0001021548,0.0003693931,0.0005582311,0.0007128581,0.000002021516,0.000001907972,0.00001130252,0.001203494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2868426,"threshold_uncertainty_score":0.6000207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517308650719992,"score_gpt":0.3389723806950047,"score_spread":0.3137992941878048,"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."}}