{"id":"W4398144087","doi":"10.5539/ells.v14n2p39","title":"A Contrastive Analysis of English and Chinese Proverbs","year":2024,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contrastive analysis; Linguistics; Computer science; Natural language processing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002201964,0.0002004401,0.000460122,0.0003152205,0.0000575782,0.0001087035,0.00004884436,0.0001031034,0.0001013802],"category_scores_gemma":[0.0007896034,0.0001329688,0.0001219244,0.0009299332,0.0001262528,0.0001659629,0.00004782904,0.0002200533,0.000001196593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007702461,"about_ca_system_score_gemma":0.00000657036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002297352,"about_ca_topic_score_gemma":0.00005716635,"domain_scores_codex":[0.9990259,0.00009919021,0.0002059831,0.0003747299,0.0001150728,0.0001791412],"domain_scores_gemma":[0.9990545,0.0003308145,0.00004778076,0.0001552078,0.0003622059,0.00004950932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007051024,0.00004338356,0.001924041,0.0001872095,0.005206211,0.0002463265,0.9790866,1.567078e-7,0.0001206639,0.004440839,0.001136416,0.00753758],"study_design_scores_gemma":[0.001582883,0.0003856198,0.03292555,0.0006386783,0.005585385,0.00001560687,0.9452445,0.00005373046,0.000210691,0.000840904,0.01186223,0.0006542147],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7310722,0.2566102,0.00001381576,0.00001799452,0.000904571,0.0001338423,0.0002469787,0.00009348623,0.0109069],"genre_scores_gemma":[0.9962633,0.0007331815,0.00004174945,0.00009283604,0.0009841382,0.00004361678,0.0001007952,0.00001437599,0.001726009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2651911,"threshold_uncertainty_score":0.5422308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005875883855013929,"score_gpt":0.292212347536486,"score_spread":0.2863364636814721,"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."}}