{"id":"W2515105358","doi":"10.1186/s40494-016-0098-x","title":"The origins of the Selden map of China: scientific analysis of the painting materials and techniques using a holistic approach","year":2016,"lang":"en","type":"article","venue":"Heritage Science","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Arts and Humanities Research Council; University of Isfahan; Trent University; Nottingham Trent University","keywords":"Painting; China; Conservation science; Arabic; Chinese art; Geography; Art; Cartography; History; Art history; Archaeology; Biology; Linguistics; Philosophy; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002062297,0.0001107898,0.0002957016,0.0001146471,0.001077734,0.0003819845,0.0007990869,0.00002170805,0.000127887],"category_scores_gemma":[0.0002015644,0.00003976798,0.0001331179,0.0006512988,0.005191813,0.0002514959,0.0003729128,0.00003381088,3.562045e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005152618,"about_ca_system_score_gemma":0.00006387132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120236,"about_ca_topic_score_gemma":0.0004587341,"domain_scores_codex":[0.9984936,0.0001481837,0.0004179591,0.0002567835,0.0004693631,0.0002141164],"domain_scores_gemma":[0.9985958,0.00007746326,0.0004672084,0.0005727193,0.0002628796,0.00002394613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004365158,0.0000195764,0.000899416,0.00006167779,0.0000623423,9.767808e-8,0.006179397,0.000005319975,0.9616028,0.03075545,0.00001363099,0.0003959025],"study_design_scores_gemma":[0.0001396651,0.00003716602,0.01524697,0.0003464003,0.001037869,0.000003088778,0.01003226,0.000922346,0.9671506,0.001626914,0.003171894,0.0002848073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987265,0.00006736778,0.00005874041,0.0001310746,0.0002782636,0.0001890229,0.00009452806,0.00001251784,0.0004419535],"genre_scores_gemma":[0.9987856,0.000005191032,0.0003270689,0.000007180125,0.00004353847,0.000005533859,4.489166e-7,0.00000600345,0.000819492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02912853,"threshold_uncertainty_score":0.9975155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04771008411805925,"score_gpt":0.2602302816321989,"score_spread":0.2125201975141396,"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."}}