{"id":"W4232279789","doi":"10.1017/s0261444806213697","title":"Language teaching","year":2006,"lang":"en","type":"article","venue":"Language Teaching","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Neuroscience of multilingualism; Sociology; Literacy; Metalanguage; Language policy; Media studies; Linguistics; Political science; Pedagogy; Law; Philosophy","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":[0.001397778,0.0001192424,0.0001283146,0.0001100596,0.0009156603,0.0001599043,0.0002692541,0.00008591636,0.0006673522],"category_scores_gemma":[0.0007674939,0.0001170623,0.0000762655,0.00008680273,0.00006979827,0.0001915635,0.00003405831,0.0005115226,0.0001971256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086648,"about_ca_system_score_gemma":0.0001029024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1127245,"about_ca_topic_score_gemma":0.007752867,"domain_scores_codex":[0.998421,0.0004958991,0.0001903394,0.0002044432,0.0002815792,0.0004067707],"domain_scores_gemma":[0.9993669,0.0001872697,0.00008104599,0.0002392483,0.00001215182,0.0001134321],"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":[0.00000295044,0.0001023944,0.001969061,0.000009964577,0.000006435132,0.00002077118,0.6788856,0.000009924916,0.003295884,0.1944836,0.0035376,0.1176758],"study_design_scores_gemma":[0.0004299991,0.00001594304,0.002892304,0.00005444935,0.00002236135,0.000006547868,0.3080518,0.0002079223,0.0005615764,0.0006155367,0.6866488,0.0004927957],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5240255,0.000252628,0.0001611967,0.0008776918,0.0002480725,0.00008457396,0.000003460001,0.000253345,0.4740935],"genre_scores_gemma":[0.9419268,0.000002096376,0.002944652,0.0009193257,0.002590777,0.000006598108,0.0000247805,0.00002022342,0.05156478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6831112,"threshold_uncertainty_score":0.893184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366102109027415,"score_gpt":0.4400201241175882,"score_spread":0.416359103027314,"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."}}