{"id":"W1996374080","doi":"10.1117/12.648407","title":"Visual and optical evaluation of bank notes in circulation","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Brightness; Deflection (physics); Geology; Materials science; Computer science; Artificial intelligence; Mathematics; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009655475,0.0002841409,0.0001686891,0.002063634,0.0007245344,0.0006486591,0.0003212016,0.0003199388,0.003120541],"category_scores_gemma":[0.002239737,0.000224064,0.0001669102,0.0009967838,0.0005635174,0.0003064572,0.0003712493,0.0005433661,0.0003237249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023859,"about_ca_system_score_gemma":0.0007156078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04800775,"about_ca_topic_score_gemma":0.08927047,"domain_scores_codex":[0.999203,0.00006701565,0.0000357865,0.00006789141,0.0005481881,0.00007815148],"domain_scores_gemma":[0.9970645,0.0005545671,0.0003286184,0.0001768527,0.001641421,0.0002339077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001570204,0.000227791,0.06739604,0.0004628893,0.00007950636,0.0005273853,0.001935669,0.001354615,0.8185778,0.0004287437,0.001520152,0.1059192],"study_design_scores_gemma":[0.00005618238,0.001360922,0.7556564,0.00006751035,0.0000952092,0.001563578,0.002958669,0.003888819,0.2275161,0.000232703,0.00647939,0.0001247212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815599,0.0004922114,0.01170085,0.00004441052,0.00003982768,0.0002134347,0.0005426881,0.0001703121,0.005236416],"genre_scores_gemma":[0.9711497,0.0003781624,0.021153,0.00006226861,0.00001525002,0.00007898658,0.0004746394,0.0000582345,0.006629733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04800775,"threshold_uncertainty_score":0.09545666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994246247174313,"score_gpt":0.2621869988627784,"score_spread":0.2422445363910353,"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."}}