{"id":"W2946498258","doi":"10.3968/11041","title":"Exploring the Cultural Connotations of “Purple” and “Zi”","year":2019,"lang":"en","type":"article","venue":"Canadian social science","topic":"Categorization, perception, and language","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multitude; White (mutation); Color term; Chinese culture; Sociology; Aesthetics; Linguistics; Psychology; History; Art; China; Epistemology; Philosophy","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":[0.001103208,0.0002915151,0.0001719769,0.001833338,0.002880059,0.003206901,0.0003385641,0.0003373014,0.003864619],"category_scores_gemma":[0.002741347,0.0001170662,0.0001809206,0.002473095,0.005266048,0.003187417,0.002092795,0.001083516,0.0002409563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003124859,"about_ca_system_score_gemma":0.00230346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04901211,"about_ca_topic_score_gemma":0.1020733,"domain_scores_codex":[0.9992793,0.0003319897,0.00003417489,0.00009413384,0.0001784715,0.0000819258],"domain_scores_gemma":[0.9991961,0.0004120675,0.0001052572,0.00007948755,0.0001471165,0.00005991566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007284919,0.00002308111,0.01526449,0.0006484161,0.00003004574,0.0004458556,0.5022463,0.0001253277,0.007722882,0.3847111,0.008591572,0.08011813],"study_design_scores_gemma":[0.00001204214,0.00003851042,0.1278456,0.0006818659,0.00006193022,0.0008622298,0.4697818,0.0007807104,0.003519359,0.06076029,0.3355727,0.00008285173],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6139981,0.00637949,0.01117547,0.006264282,0.0003914672,0.00008453729,0.0005644161,0.00006737894,0.3610748],"genre_scores_gemma":[0.9877245,0.00180371,0.003072478,0.0004000894,0.00003241427,0.00003561567,0.0001412841,0.00003731671,0.00675263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04901211,"threshold_uncertainty_score":0.09745371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06460189041679074,"score_gpt":0.3194538608130651,"score_spread":0.2548519703962744,"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."}}