{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009159876,0.0002617924,0.0001884708,0.003654609,0.0008436611,0.001645898,0.0002470467,0.0001907731,0.006294446],"category_scores_gemma":[0.006819587,0.00006514305,0.0001980879,0.00488858,0.0008009925,0.001962464,0.000887895,0.0003532663,0.00108987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254034,"about_ca_system_score_gemma":0.001168455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325655,"about_ca_topic_score_gemma":0.01070098,"domain_scores_codex":[0.9986674,0.0003516254,0.0002212378,0.0001067699,0.0004381227,0.0002149863],"domain_scores_gemma":[0.9960438,0.001594928,0.0006125066,0.0002161315,0.001333465,0.0001992976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002774304,0.0002803543,0.3251848,0.002154295,0.0001584647,0.002266816,0.1102048,0.0009636335,0.04219258,0.06638923,0.0198143,0.4276164],"study_design_scores_gemma":[0.0000893676,0.0005493867,0.6931461,0.0005177155,0.0004141575,0.003169543,0.1106685,0.006518857,0.01562987,0.01021381,0.1589524,0.0001301936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941278,0.001445452,0.001893128,0.0003954026,0.0001731846,0.00006046428,0.001133974,0.00007849206,0.05354202],"genre_scores_gemma":[0.9942814,0.0004749738,0.0009190666,0.00006382781,0.00005295252,0.00002925745,0.001002255,0.00004920294,0.003127019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01325655,"threshold_uncertainty_score":0.02635878,"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."}}