{"id":"W4392467796","doi":"10.1016/j.eswa.2024.123577","title":"A framework for image-based counterfeit coin detection using pruned fuzzy associative classifier","year":2024,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Associative property; Counterfeit; Artificial intelligence; Pattern recognition (psychology); Fuzzy logic; Classifier (UML); Data mining; Machine learning; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006799417,0.0004341818,0.001192429,0.001556708,0.0006998132,0.00121144,0.002198587,0.001309532,0.002108754],"category_scores_gemma":[0.001275243,0.0003507792,0.0008262636,0.001053336,0.0005546443,0.001288069,0.0008416212,0.0008282425,0.00109363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006328361,"about_ca_system_score_gemma":0.001328246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009249,"about_ca_topic_score_gemma":0.009662388,"domain_scores_codex":[0.9993727,0.00006602646,0.00003515609,0.000152697,0.0002960085,0.00007743245],"domain_scores_gemma":[0.9994998,0.00008407894,0.0000312934,0.00007239635,0.0002823928,0.00003001105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001890643,0.0002376054,0.001497822,0.0002122869,0.0001337625,0.0004827236,0.000206308,0.1397449,0.06893604,0.04154686,0.004397424,0.7424152],"study_design_scores_gemma":[0.000005064637,0.0000397808,0.0003126726,0.00001574846,0.00003041374,0.0001678451,0.00002146594,0.9824965,0.008813729,0.005508607,0.002568486,0.00001963887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005593623,0.0002682146,0.9924286,0.0000533005,0.00003814173,0.00004352613,0.0000368662,0.0005730579,0.0009646284],"genre_scores_gemma":[0.246165,0.0005837003,0.7472506,0.0001415125,0.000113119,0.0001583953,0.0002378081,0.0001002772,0.005249612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01009249,"threshold_uncertainty_score":0.02006751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442918992567024,"score_gpt":0.3288920458183135,"score_spread":0.2846001465616111,"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."}}