{"id":"W3035625201","doi":"","title":"Recent Trends in Banknote Counterfeiting | Bulletin – March Quarter 2017","year":2017,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Banknote; Quarter (Canadian coin); Computer science; History; Artificial intelligence","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":[0.003138781,0.0005137941,0.0005227993,0.006735572,0.002101422,0.01604425,0.0009300316,0.003544792,0.05859247],"category_scores_gemma":[0.01817508,0.0004875568,0.0003778641,0.009536587,0.00189027,0.006475642,0.001455617,0.003882624,0.02723893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004417789,"about_ca_system_score_gemma":0.003627985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01989958,"about_ca_topic_score_gemma":0.03634804,"domain_scores_codex":[0.9948664,0.0004378246,0.0003749176,0.0005648416,0.002900557,0.0008555194],"domain_scores_gemma":[0.981556,0.004060554,0.005340811,0.0005706465,0.007118451,0.001353557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001826578,0.00008470914,0.01811025,0.0002894574,0.00001680265,0.0002129163,0.0006008024,0.0001595053,0.0004524377,0.02223662,0.8333259,0.1243281],"study_design_scores_gemma":[0.00001769603,0.000044368,0.05822574,0.0003181694,0.00001948982,0.0003312661,0.001871455,0.000269273,0.0009582949,0.001621409,0.9362891,0.00003373898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1033025,0.06043475,0.001013905,0.1204291,0.01153657,0.00009349543,0.01466941,0.001251659,0.6872686],"genre_scores_gemma":[0.4207876,0.04754552,0.001031377,0.02092781,0.01174542,0.0001317599,0.01257937,0.0007215398,0.4845296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05859247,"threshold_uncertainty_score":0.1960113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592899731793949,"score_gpt":0.2648973202763731,"score_spread":0.2189683229584336,"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."}}