{"id":"W2388069962","doi":"","title":"The Influence of Varnish and Paper Performance on Watermark Effect","year":2008,"lang":"en","type":"article","venue":"Journal of Beijing Institute of Graphic Communication","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Watermark; Varnish; Transmittance; Computer science; Materials science; Engineering drawing; Engineering; Artificial intelligence; Composite material; Optoelectronics; Embedding","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007759302,0.00007195052,0.0001591093,0.0001425686,0.0004233496,0.00003204685,0.0006840544,0.0000358043,1.875716e-7],"category_scores_gemma":[0.0001244459,0.00004662182,0.00005537348,0.0002148145,0.0004668644,0.001089356,0.00009512457,0.0002441007,2.428673e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001090009,"about_ca_system_score_gemma":0.00007875731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000757593,"about_ca_topic_score_gemma":0.000002562736,"domain_scores_codex":[0.9991179,0.0001095895,0.0004063955,0.00006507107,0.0002206605,0.00008035301],"domain_scores_gemma":[0.9984581,0.0001967024,0.0006300395,0.0004177827,0.0002699701,0.00002739196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003681047,0.0002296423,0.1313356,0.00047185,0.0002149076,0.00001024864,0.004602297,0.01007052,0.0490476,0.01058764,0.0001686584,0.7928929],"study_design_scores_gemma":[0.00189268,0.001744151,0.9419045,0.003477798,0.00007825316,0.002413689,0.00006977302,0.01192306,0.02925386,0.002196994,0.004685284,0.0003599363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973389,0.0008567463,0.0009456939,0.0003431711,0.0001650858,0.00004403418,1.292227e-7,0.000007592385,0.0002986708],"genre_scores_gemma":[0.9906853,0.004452131,0.004816146,0.00002233823,0.00001230776,0.000001152826,1.887181e-7,0.000002595036,0.000007833942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8105689,"threshold_uncertainty_score":0.3256105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006874685343110234,"score_gpt":0.2114533816958885,"score_spread":0.2045786963527783,"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."}}