{"id":"W4378965581","doi":"10.18280/jesa.560205","title":"Comparison of the Application of FNN and LSTM Based on the Use of Modules of Artificial Neural Networks in Generating an Individual Knowledge Testing Trajectory","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Artificial intelligence; Computer science; Trajectory; Deep neural networks; 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":[0.0009272571,0.0001149252,0.0003241324,0.0001712242,0.0001268199,0.00004000462,0.000210788,0.00005076861,0.000001222022],"category_scores_gemma":[0.0003815721,0.00007355899,0.0000514631,0.0006577313,0.0001513596,0.0001571184,0.00004336958,0.0003048237,1.195374e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002997354,"about_ca_system_score_gemma":0.00003444834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001931062,"about_ca_topic_score_gemma":0.00002935059,"domain_scores_codex":[0.9982377,0.000360267,0.000806661,0.00009606333,0.0003193525,0.000179945],"domain_scores_gemma":[0.9984356,0.0007730955,0.0004317085,0.00016355,0.0001551913,0.000040863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006492763,0.00002983318,0.01376114,0.0003090811,0.00001267568,7.230519e-7,0.0006892722,0.7738939,0.04362489,0.00003908547,0.00001083729,0.1676221],"study_design_scores_gemma":[0.00009336154,0.00007539194,0.1749927,0.0005045334,0.000008842256,0.000005417071,0.0002166475,0.8203586,0.003636734,0.0000544864,0.000002190454,0.00005113753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536887,0.0003718869,0.04561365,0.000005819581,0.00007162651,0.0001855106,0.000009772193,0.00003027838,0.00002278153],"genre_scores_gemma":[0.9967491,0.00000570021,0.003137179,0.000002405341,0.00007126981,0.000006567327,0.000001426257,0.00002424059,0.000002124579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.167571,"threshold_uncertainty_score":0.2999649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202717556377636,"score_gpt":0.3264988344430008,"score_spread":0.2062270788052372,"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."}}