{"id":"W1891055834","doi":"10.3968/j.ccc.1923670020050101.004","title":"The Cantonese Culture and the Hakka Culture in Shenzhen","year":2010,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Pity; Population; Geography; History; Annals; Genealogy; Ancient history; Sociology; Demography; Literature; Archaeology; Art","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":[0.0005025439,0.000291184,0.0001300855,0.0005464504,0.006714988,0.003384747,0.0003820456,0.0005113403,0.002961133],"category_scores_gemma":[0.0003793381,0.0001866711,0.000114614,0.001170949,0.007547084,0.001123871,0.001636811,0.001153224,0.000116573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005137607,"about_ca_system_score_gemma":0.003486851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1343704,"about_ca_topic_score_gemma":0.2174036,"domain_scores_codex":[0.9996536,0.00009745818,0.000010626,0.00004234866,0.00004843532,0.0001476195],"domain_scores_gemma":[0.9997514,0.00006768456,0.00005228955,0.00001403304,0.00002158508,0.00009296763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003121807,0.0001792373,0.07182646,0.000340792,0.00007374286,0.006796362,0.6200772,0.0003199,0.004988336,0.2416215,0.008844735,0.04461951],"study_design_scores_gemma":[0.00008008363,0.0001531047,0.4652969,0.0004087367,0.00005143965,0.0008213086,0.3393516,0.0005597167,0.0009049986,0.02079424,0.1714525,0.0001254857],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227142,0.00416794,0.00007278068,0.005133065,0.0001486756,0.00001021475,0.00002551017,0.000004741838,0.06772269],"genre_scores_gemma":[0.9937513,0.0007349924,0.00002720023,0.0002108878,0.00001966505,0.000004672742,0.000008426118,0.00000159952,0.00524124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1343704,"threshold_uncertainty_score":0.2671766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006716082751121,"score_gpt":0.3475617764670462,"score_spread":0.327494615639535,"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."}}