{"id":"W2993787887","doi":"","title":"Characteristic Analysis of Mandarin Chinese From a Cultural Perspective","year":2013,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandarin Chinese; Perspective (graphical); Contradiction; Salient; Linguistics; Chinese culture; Diversity (politics); Chinese language; Sociology; Psychology; China; History; Computer science; Philosophy; Artificial intelligence","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":[0.0002998318,0.0001278692,0.0001376762,0.002470769,0.001309606,0.0006755656,0.00019288,0.0001327413,0.00180962],"category_scores_gemma":[0.001031321,0.00006175628,0.0001638655,0.003328597,0.0005795067,0.0003179422,0.0004524185,0.0001293904,0.0001466256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117423,"about_ca_system_score_gemma":0.001121062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01978675,"about_ca_topic_score_gemma":0.02669417,"domain_scores_codex":[0.9997105,0.0000575324,0.00003547011,0.00005450664,0.00008982368,0.00005212188],"domain_scores_gemma":[0.9994112,0.0001253207,0.0001492822,0.00005352646,0.0001959874,0.00006470535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002277671,0.00005802955,0.6958767,0.0002856633,0.00008441535,0.00532933,0.08406568,0.0008858104,0.02073228,0.04378602,0.00220422,0.1464642],"study_design_scores_gemma":[0.000004672087,0.00007912938,0.9556904,0.00003743875,0.00005959241,0.001619234,0.01848025,0.002137627,0.001949867,0.003052116,0.01686074,0.0000288783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862431,0.0001354887,0.0005857822,0.00009080757,0.000004033397,0.0000208248,0.0001318295,0.000005783881,0.01278232],"genre_scores_gemma":[0.9979085,0.00009802378,0.0006769462,0.00001263051,0.00000441116,0.00001535986,0.0001090812,0.000003249882,0.001171911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01978675,"threshold_uncertainty_score":0.03934312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165152046418072,"score_gpt":0.2959292382459162,"score_spread":0.279414033604109,"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."}}