{"id":"W1685339656","doi":"","title":"Comparative Study on Cultural DNA of Chinese and Western Sketch","year":2014,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Cultural and Communication Design Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sketch; Feeling; Order (exchange); Field (mathematics); Computer science; Sociology; Epistemology; Philosophy; Mathematics; Algorithm; Pure mathematics","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":[0.003864951,0.0003240828,0.0003273289,0.00359956,0.0033071,0.002499295,0.0005963109,0.0003452132,0.004446723],"category_scores_gemma":[0.01142855,0.0001687491,0.0001939345,0.003980986,0.005040294,0.00261037,0.002865587,0.000616027,0.0001554093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00270607,"about_ca_system_score_gemma":0.001859871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611534,"about_ca_topic_score_gemma":0.01950043,"domain_scores_codex":[0.9978207,0.0008889076,0.0001706631,0.0003268213,0.0005573363,0.0002355158],"domain_scores_gemma":[0.9938466,0.003400887,0.0007165281,0.0004709362,0.00108306,0.0004819198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001322276,0.0000442494,0.04803508,0.0002306213,0.00002211692,0.0007373389,0.9030478,0.0000839032,0.002505845,0.008715589,0.0002994465,0.03614577],"study_design_scores_gemma":[0.00001185489,0.0001549329,0.1446597,0.0001536444,0.00003405473,0.0009215939,0.8239405,0.0004292317,0.001914394,0.001578261,0.02614455,0.00005729069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911088,0.0002985668,0.0007281454,0.000139541,0.00001945701,0.00003014,0.00003416104,0.000004299398,0.007636879],"genre_scores_gemma":[0.997779,0.0001924614,0.0003323415,0.00003426935,0.000007234147,0.00001930041,0.00003518949,0.000004856322,0.001595457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611534,"threshold_uncertainty_score":0.0320431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311535529454216,"score_gpt":0.4088499617231227,"score_spread":0.2776964087777011,"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."}}