{"id":"W2212942190","doi":"","title":"The Application Research of Liangshan Yi Nationality Lacquer Design Language in Modern Product Design","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lacquer; Nationality; Style (visual arts); Product (mathematics); Ethnic group; Charm (quantum number); Aesthetics; Art; Product design; Visual arts; History; Sociology; Anthropology; Materials science; Archaeology; Nanotechnology; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005683654,0.00005057134,0.00006412242,0.0001676132,0.0003611917,0.0001712636,0.001231743,0.00002545511,6.517349e-7],"category_scores_gemma":[0.001000162,0.00004073367,0.00001273863,0.001823933,0.0006130594,0.0005212625,0.00008975013,0.00009734274,0.00002472059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006615025,"about_ca_system_score_gemma":0.00402366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072753,"about_ca_topic_score_gemma":0.01323012,"domain_scores_codex":[0.998252,0.0001870019,0.0001254652,0.0002735183,0.0007194369,0.0004425811],"domain_scores_gemma":[0.9988368,0.0001826407,0.0000372123,0.0002404129,0.0004050429,0.0002978514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001491402,0.00008461144,0.004294463,0.0000106169,0.000003970816,0.00001237479,0.04579505,0.0001102316,0.005731857,0.450204,0.007026696,0.4867112],"study_design_scores_gemma":[0.001672224,0.0007450006,0.07713255,0.0001130123,0.000007894167,0.00001884062,0.02014056,0.2350078,0.08022452,0.5243691,0.05885192,0.001716626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1498102,0.0006453823,0.6085346,0.0240004,0.001241894,0.004243598,0.00004268349,0.0001528721,0.2113284],"genre_scores_gemma":[0.9982778,6.486086e-7,0.001366651,0.00009157077,0.00006621704,0.00004701477,8.224291e-7,0.00000221277,0.0001470292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8484676,"threshold_uncertainty_score":0.9958601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1845194439651133,"score_gpt":0.4025841858415647,"score_spread":0.2180647418764514,"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."}}