{"id":"W3158533722","doi":"","title":"Code switching used by Sacha Stevenson on YouTube Channel","year":2018,"lang":"en","type":"dissertation","venue":"eTheses of Maulana Malik Ibrahim State Islamic University (Maulana Malik Ibrahim State Islamic University)","topic":"Linguistics and Language Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code-switching; Sentence; Code (set theory); Repetition (rhetorical device); Channel (broadcasting); Linguistics; Sociolinguistics; Indonesian; Computer science; Psychology; Sociology; Artificial intelligence; Telecommunications; Programming language","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0006882062,0.001879044,0.002427002,0.003324491,0.001476748,0.0004693213,0.002790928,0.0007818731,0.002404484],"category_scores_gemma":[0.0001392292,0.002128558,0.001280998,0.0009618772,0.0007925024,0.001080298,0.0004852021,0.001601369,0.000262854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008531586,"about_ca_system_score_gemma":0.0006728424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02818408,"about_ca_topic_score_gemma":0.0606669,"domain_scores_codex":[0.9922711,0.0007957083,0.001256845,0.002267408,0.001610814,0.001798121],"domain_scores_gemma":[0.9940787,0.0005997524,0.002160402,0.001784621,0.001051154,0.0003253957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01223303,0.003276226,0.0004619315,0.005006692,0.01773187,0.01055799,0.6594739,0.003806154,0.004241256,0.2059736,0.06944282,0.007794481],"study_design_scores_gemma":[0.01179664,0.003421299,0.0003020278,0.003138689,0.007939064,0.0000314332,0.3989165,0.01198371,0.0060849,0.02186238,0.5238041,0.01071934],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8159028,0.0003186341,0.00088878,0.0003154282,0.001927807,0.001229947,0.0124398,0.0005771185,0.1663997],"genre_scores_gemma":[0.7001798,0.001005219,0.0001781735,0.0001716439,0.0004750071,0.00000126422,0.005408607,0.0002927257,0.2922876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4543612,"threshold_uncertainty_score":0.9998232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645291260077171,"score_gpt":0.211553845556708,"score_spread":0.1951009329559363,"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."}}