{"id":"W2067073376","doi":"10.5539/ass.v4n8p102","title":"A Comparative Study of Literary Images between Chinese and English from the Cognitive Perspective","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Cognition; Linguistics; Point (geometry); Image (mathematics); Psychology; Domain (mathematical analysis); Cognitive linguistics; Discipline; Epistemology; Cognitive psychology; Cognitive science; Sociology; Computer science; Philosophy; Mathematics; Artificial intelligence; Social science","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":[0.0005058619,0.0002541988,0.0002684393,0.001816747,0.00205748,0.001825768,0.0002883889,0.0003423706,0.002921873],"category_scores_gemma":[0.002608681,0.0001140304,0.0001899399,0.001813347,0.002121614,0.001313218,0.0009134894,0.0004611412,0.0001281612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764294,"about_ca_system_score_gemma":0.0008359537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685472,"about_ca_topic_score_gemma":0.02531555,"domain_scores_codex":[0.9997039,0.00009452466,0.00001733797,0.00003530738,0.00007526589,0.00007360675],"domain_scores_gemma":[0.99892,0.0005699671,0.0001687281,0.00004004153,0.0001756712,0.0001256693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003314112,0.0001513194,0.04910711,0.0002956819,0.00003249817,0.0037278,0.9082599,0.00005803013,0.00616512,0.007718732,0.0009310537,0.02322121],"study_design_scores_gemma":[0.00001394174,0.0001687109,0.3101044,0.0001081706,0.00004965516,0.00127372,0.6747863,0.0002707671,0.001460417,0.0006952501,0.01103368,0.00003500698],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924049,0.0001980654,0.00004092694,0.00006726854,0.000009326704,0.000005383144,0.00001280712,0.000001110076,0.007260235],"genre_scores_gemma":[0.9989797,0.0001453606,0.0000394457,0.00001896814,0.000006298746,0.000003645598,0.00001653683,0.000002196118,0.000787804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01685472,"threshold_uncertainty_score":0.03351319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046724728899904,"score_gpt":0.357189227146787,"score_spread":0.336721979857788,"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."}}