{"id":"W7054625211","doi":"","title":"The acquisition of the Wegener collection of Chinese paintings by the British museum","year":2013,"lang":"en","type":"article","venue":"Digital Commons - Lingnan (Lingnan University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sculpture; Painting; Buddhism; German; Civilization; China; Cave","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001330392,0.0007309762,0.0003431716,0.00661231,0.004570205,0.002564786,0.001016498,0.0004821485,0.08181412],"category_scores_gemma":[0.001649965,0.0006375536,0.0003528204,0.008490255,0.001799674,0.001231313,0.002710155,0.001075132,0.01093058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008619214,"about_ca_system_score_gemma":0.01117409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3429885,"about_ca_topic_score_gemma":0.6812068,"domain_scores_codex":[0.9988991,0.00007259178,0.00006831598,0.0002199747,0.000614855,0.0001251229],"domain_scores_gemma":[0.9984988,0.0001275266,0.00008173068,0.0004050079,0.0006933446,0.0001935943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001185951,0.0000368099,0.00805337,0.0007871091,0.00004884893,0.0005818759,0.004187507,0.0001656211,0.007452779,0.01334341,0.5718197,0.3934044],"study_design_scores_gemma":[0.000003737837,0.000004875612,0.02292971,0.00009172412,0.000006929933,0.000136007,0.0002154273,0.0000534662,0.0005590365,0.0001254442,0.9758604,0.0000133458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08187649,0.02823917,0.00627625,0.01062838,0.00361378,0.001139629,0.0470507,0.001351987,0.8198235],"genre_scores_gemma":[0.128888,0.01756646,0.01867574,0.002428567,0.001165882,0.0007382728,0.02675203,0.0006702922,0.8031148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3429885,"threshold_uncertainty_score":0.6819842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004440465552305714,"score_gpt":0.1535097407397245,"score_spread":0.1490692751874188,"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."}}