{"id":"W4385078307","doi":"10.18280/isi.280319","title":"Evaluation of Top Pretrained Models Using Transfer Learning on Banknote Dataset with Quality Parameter","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Banknote; Transfer of learning; Quality (philosophy); Computer science; Transfer (computing); Artificial intelligence; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002343714,0.0001228808,0.0001532279,0.0003558566,0.0001679431,0.0001531927,0.0001632258,0.00007046656,0.00002050855],"category_scores_gemma":[0.0003009114,0.0001090104,0.00004317166,0.0008388973,0.00004737268,0.0037099,0.00002919388,0.000127474,0.0000310289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509152,"about_ca_system_score_gemma":0.0001260181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005192864,"about_ca_topic_score_gemma":0.000009502995,"domain_scores_codex":[0.9980545,0.0002913202,0.0004703454,0.0001539306,0.0008488409,0.0001810446],"domain_scores_gemma":[0.9988936,0.0001145904,0.0001677806,0.0002597624,0.0005198544,0.00004443376],"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":[0.00009917868,0.00003590955,0.0001653297,0.0002348497,0.00005565451,5.448792e-7,0.009821815,0.4099099,0.0006185145,0.003562016,0.00007703858,0.5754192],"study_design_scores_gemma":[0.0006218085,0.0001761203,0.001571447,0.0001218112,0.00002861841,0.000007770273,0.0002532804,0.987087,0.003393621,0.006502253,0.00008226499,0.0001540503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4758869,0.000004878769,0.5227491,0.00001109242,0.0001097672,0.0002459557,0.00006279107,0.0001379833,0.0007915043],"genre_scores_gemma":[0.9974159,0.000004985749,0.001952941,0.00004498169,0.0000147089,0.00003501803,0.0005227114,0.000005190586,0.000003536644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5771771,"threshold_uncertainty_score":0.4445315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119153561565441,"score_gpt":0.3276175598565155,"score_spread":0.2084639982910745,"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."}}