{"id":"W2992451855","doi":"","title":"Linguistic Landscape of China—A Case Study of Shop Signs in Beijing","year":2013,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Swearing, Euphemism, Multilingualism","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; China; Linguistic landscape; Sign (mathematics); Linguistics; Focus (optics); History; Political science; Philosophy; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008363513,0.0003999603,0.0005204756,0.001735243,0.007637409,0.002094601,0.001233524,0.001211051,0.004141285],"category_scores_gemma":[0.0012853,0.0002799098,0.0003240253,0.005119936,0.004343918,0.001896275,0.002876002,0.0006346748,0.0002560333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006966256,"about_ca_system_score_gemma":0.003069171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09507561,"about_ca_topic_score_gemma":0.199641,"domain_scores_codex":[0.9991434,0.00039738,0.00003829828,0.0000822249,0.0001431684,0.0001954374],"domain_scores_gemma":[0.9992478,0.0002396462,0.0001420392,0.00007593057,0.00007737959,0.0002172324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002445797,0.0003943326,0.2255018,0.0005826065,0.00009654919,0.0941769,0.5847194,0.002625384,0.008043694,0.0173782,0.002861803,0.06337478],"study_design_scores_gemma":[0.00003107322,0.0003077533,0.2833155,0.0001522269,0.00006939317,0.005370767,0.6755543,0.003131714,0.001240871,0.002171837,0.02856311,0.00009146674],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946889,0.00009912909,0.0001240454,0.0002125443,0.000004132975,0.00002374442,0.00002690852,0.000005165377,0.004815487],"genre_scores_gemma":[0.9974209,0.0001190496,0.0002185507,0.00002869439,0.000003577727,0.00001710726,0.00002787428,0.000004494516,0.002159682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09507561,"threshold_uncertainty_score":0.1890444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555523670420965,"score_gpt":0.3770613848365428,"score_spread":0.3515061481323332,"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."}}