{"id":"W2126106037","doi":"10.5539/ass.v4n10p123","title":"The Decomposition-combination Structure of the Chu Art in the Visual Field of Liuguan","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decomposition; Flexibility (engineering); The arts; Field (mathematics); Orientation (vector space); Art; Aesthetics; State (computer science); Computer science; Visual arts; Artificial intelligence; Mathematics; Pure mathematics; Chemistry; Geometry; Algorithm; Statistics","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":[0.0003554766,0.00005252647,0.00006756355,0.00003318307,0.0003398279,0.0001242749,0.001482056,0.00002670408,0.000001677155],"category_scores_gemma":[0.0001112706,0.00002617028,0.00004311291,0.001085746,0.0003220212,0.0003979684,0.00008890773,0.00009512388,0.000001661019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001889711,"about_ca_system_score_gemma":0.00009023266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006391658,"about_ca_topic_score_gemma":0.00002110011,"domain_scores_codex":[0.9989799,0.00005714887,0.0001522908,0.0001286528,0.0005152413,0.0001667996],"domain_scores_gemma":[0.9995188,0.0001164239,0.00009832482,0.0001844059,0.00006157446,0.00002043298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000003808211,0.0001038514,0.0006966699,0.000002250167,0.000001396129,6.532424e-7,0.007470316,5.813963e-7,0.009149226,0.6017361,0.000556734,0.3802784],"study_design_scores_gemma":[0.0002145215,0.0004099736,0.7932526,0.00002768071,0.000003216146,0.000005786604,0.001069263,0.0005572226,0.04547806,0.1579714,0.0008940782,0.000116201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8082237,0.00002152275,0.002372307,0.03801863,0.0008468257,0.0004289834,0.0000024259,0.00002430985,0.1500613],"genre_scores_gemma":[0.9992514,8.397625e-7,0.00007265947,0.0006149557,0.00003455782,0.000001161609,2.406956e-7,8.311464e-7,0.00002337748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.792556,"threshold_uncertainty_score":0.2754053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005932178100670643,"score_gpt":0.3074470885143913,"score_spread":0.3015149104137207,"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."}}