{"id":"W1910474451","doi":"","title":"Comparison Between Chinese Address Terms and English Address Terms","year":2015,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Cross-cultural communication; Linguistics; Cultural communication; Sociology; Political science; Communication; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003132911,0.0001104744,0.000193277,0.0001034127,0.0004383958,0.000344604,0.0005473387,0.00003661063,0.0003708356],"category_scores_gemma":[0.00005478544,0.00008879227,0.00002795129,0.000159396,0.00178243,0.0007473567,0.00012608,0.0001106592,0.000009993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005477748,"about_ca_system_score_gemma":0.0002645081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003340253,"about_ca_topic_score_gemma":0.00005084057,"domain_scores_codex":[0.9989314,0.00005761257,0.0002430942,0.0001926182,0.0003959222,0.0001793656],"domain_scores_gemma":[0.9989392,0.00005424065,0.0002149888,0.0002435631,0.0004294107,0.000118569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000005308477,0.0002443218,0.06735767,0.00002435675,0.00001050573,8.355479e-8,0.3142855,4.755933e-7,0.0001028296,0.6084644,0.007341172,0.002163442],"study_design_scores_gemma":[0.0002585237,0.00004118081,0.7959512,0.00003296159,0.00002310735,2.28002e-7,0.06304268,0.000001993609,0.0001099114,0.006171221,0.1341421,0.0002248474],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5386328,0.0001827335,6.535599e-7,0.0003566419,0.0008303183,0.0001062691,0.00002834209,0.00004334138,0.4598189],"genre_scores_gemma":[0.992539,0.000003548337,0.00005731574,0.00009753978,0.001318266,0.00001861544,0.0000327928,0.000008347358,0.005924535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7285935,"threshold_uncertainty_score":0.6567437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09425050981173531,"score_gpt":0.3931686446210475,"score_spread":0.2989181348093122,"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."}}