{"id":"W3120669780","doi":"10.18280/ts.370618","title":"An Image Classification Algorithm of Financial Instruments Based on Convolutional Neural Network","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chongqing Municipal Education Commission","keywords":"Convolutional neural network; Boom; Computer science; Finance; Artificial intelligence; Preprocessor; Machine learning; Financial instrument; Algorithm; Pattern recognition (psychology); Business; Engineering","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":[0.0001396979,0.0001059882,0.0001070662,0.00005176928,0.0001038467,0.00004921716,0.0002421338,0.0000389607,0.0001399208],"category_scores_gemma":[0.000008730311,0.000108604,0.00006296566,0.000292476,0.0000391017,0.0003243039,0.00002007478,0.0001001784,0.00002979825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003853588,"about_ca_system_score_gemma":0.00007583089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003470587,"about_ca_topic_score_gemma":7.020043e-7,"domain_scores_codex":[0.9988621,0.00008409066,0.0002589177,0.0002836239,0.0003508625,0.0001604331],"domain_scores_gemma":[0.9995296,0.00002374257,0.0001205041,0.0001203866,0.00009080044,0.0001149435],"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":[0.000207517,0.0005667138,0.001464437,0.00003704591,0.0000125781,0.000006014151,0.0002351503,0.007064172,0.01153994,0.01151528,0.002491958,0.9648592],"study_design_scores_gemma":[0.0008269807,0.0006089449,0.03591152,0.00001170415,0.000005421663,0.000001296887,0.000008773975,0.9602804,0.001748132,0.000167667,0.0003245971,0.0001045534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0517772,0.000003725065,0.9464473,0.0005545908,0.0003472447,0.000190719,0.00003419798,0.0001449672,0.0005000845],"genre_scores_gemma":[0.9741809,5.551578e-7,0.02447743,0.0009439115,0.0003140142,0.0000186395,0.00005863473,0.000004604115,0.000001295743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9647546,"threshold_uncertainty_score":0.4428742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489558877937132,"score_gpt":0.2506822634074963,"score_spread":0.215786674628125,"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."}}