{"id":"W3177126858","doi":"10.1007/s41809-021-00081-w","title":"Cross-language activation of culture-specific features in Chinese–English bilinguals","year":2021,"lang":"en","type":"article","venue":"Journal of Cultural Cognitive Science","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"N400; Priming (agriculture); Linguistics; Psychology; Second language; Word (group theory); Computer science; Event-related potential; Cognition; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001902792,0.0002877937,0.0002580736,0.0003904484,0.0003859983,0.0005447426,0.0001404264,0.0002779069,0.005280973],"category_scores_gemma":[0.001152993,0.0001588134,0.0001259565,0.0002544908,0.000384534,0.0004240324,0.0005181279,0.0003282928,0.0002492242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003889702,"about_ca_system_score_gemma":0.0005247041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009452858,"about_ca_topic_score_gemma":0.01636142,"domain_scores_codex":[0.9998966,0.00001309482,0.00000632718,0.00003443096,0.00001545137,0.00003400348],"domain_scores_gemma":[0.9995471,0.0001725301,0.00008415327,0.00002346974,0.00007631344,0.00009651588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003830257,0.0002259787,0.1330512,0.0003010201,0.0001067859,0.002171305,0.01336885,0.0001193854,0.8190396,0.000688288,0.000624639,0.02647265],"study_design_scores_gemma":[0.00007804597,0.0001687749,0.9814867,0.000031983,0.00007831879,0.001213608,0.00533436,0.0003167764,0.01017805,0.0005051144,0.0005866154,0.00002147989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987091,0.00004759176,0.0000411162,0.00002406411,0.000005245996,0.000002669629,0.00004614872,0.00000218351,0.001121913],"genre_scores_gemma":[0.9989453,0.00005087541,0.00008287132,0.00003885564,0.000004343244,0.000008019178,0.00006240874,0.000007605515,0.0007997939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009452858,"threshold_uncertainty_score":0.01879567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261567730412125,"score_gpt":0.369636726633717,"score_spread":0.3470210493295958,"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."}}