{"id":"W2126167093","doi":"10.1075/tsl.86.18typ","title":"Typological constraints on code mixing in Inuktitut–English bilingual adults","year":2009,"lang":"en","type":"book-chapter","venue":"Typological studies in language","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; McGill University","funders":"","keywords":"Linguistics; Utterance; Language contact; Linguistic typology; Typology; Code-switching; Mixing (physics); North Germanic languages; Code-mixing; First language; History; Philosophy; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009992581,0.0004146364,0.0007972263,0.0002777742,0.0002375046,0.00003284628,0.0004552701,0.0008462309,0.00301473],"category_scores_gemma":[0.006560653,0.0003329561,0.0001505045,0.0001546753,0.002643005,0.00004524288,0.0001331442,0.001172513,0.0001960138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005346097,"about_ca_system_score_gemma":0.0002411119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000788759,"about_ca_topic_score_gemma":0.01254038,"domain_scores_codex":[0.9973426,0.0002570562,0.0006312365,0.0006671912,0.000426326,0.0006755886],"domain_scores_gemma":[0.9980656,0.001156389,0.0002071833,0.0002678869,0.0001365048,0.000166431],"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":[0.0002141664,0.0003139513,0.0005374155,0.00004859671,0.00004354553,0.0007426462,0.191677,0.00001164081,0.000002037353,0.6357276,0.001522783,0.1691587],"study_design_scores_gemma":[0.003884233,0.001361217,0.007400351,0.002904928,0.00007789821,0.00001576441,0.2931978,0.000009173124,0.00002788675,0.04454681,0.6436037,0.002970255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08099936,0.002975731,2.226279e-7,0.0006531077,0.001084767,0.0005358357,0.0000459288,0.0001624856,0.9135426],"genre_scores_gemma":[0.889625,0.002645961,0.0001882133,0.002925069,0.001901813,0.00002319415,0.00003134224,0.00002577236,0.1026336],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.810909,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1593350267005357,"score_gpt":0.4839088842723236,"score_spread":0.3245738575717879,"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."}}