{"id":"W4385400523","doi":"10.18280/ijsse.130310","title":"A Hybrid Text Summarization Approach Using Neural Networks and Metaheuristic Algorithms","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Topic Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Metaheuristic; Computer science; Artificial neural network; Artificial intelligence; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008822776,0.001269366,0.00117149,0.002547137,0.0004865289,0.001139973,0.001125502,0.001023584,0.001580604],"category_scores_gemma":[0.001809126,0.0003864869,0.001101324,0.001822702,0.0002845912,0.001535191,0.000601246,0.0006403283,0.0004926824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006422462,"about_ca_system_score_gemma":0.0008328108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003030679,"about_ca_topic_score_gemma":0.004398008,"domain_scores_codex":[0.9994057,0.0001683347,0.00006542084,0.0001621368,0.0001531597,0.00004511311],"domain_scores_gemma":[0.9993818,0.0002523712,0.00009272946,0.00004511909,0.0002076086,0.00002035124],"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":[0.0002111109,0.0002034507,0.0007165845,0.000456827,0.0003103452,0.0001605089,0.0002323844,0.3361417,0.01860869,0.005978057,0.002867363,0.6341131],"study_design_scores_gemma":[0.00002491366,0.0001652641,0.000264154,0.00001694249,0.0000676907,0.00004050953,0.00005849299,0.9899358,0.004192207,0.003029616,0.002189271,0.00001515885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01854174,0.0009007286,0.9768673,0.0001709591,0.00006339065,0.0001780585,0.0001180308,0.001303541,0.00185607],"genre_scores_gemma":[0.2408243,0.0006943527,0.751785,0.0002000365,0.0001776525,0.0004494536,0.0007620034,0.0001827741,0.004924384],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003030679,"threshold_uncertainty_score":0.006026089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449967856292329,"score_gpt":0.2305041682359353,"score_spread":0.216004489673012,"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."}}