{"id":"W4384158719","doi":"10.32620/reks.2023.2.01","title":"Automatic text summarization based on extractive-abstractive method","year":2023,"lang":"en","type":"article","venue":"RADIOELECTRONIC AND COMPUTER SYSTEMS","topic":"Topic Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Automatic summarization; Computer science; Sentence; Ranking (information retrieval); Natural language processing; Artificial intelligence; Task (project management); WordNet; Meaning (existential); Information retrieval; Face (sociological concept); Noun; Rank (graph theory); Linguistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006638853,0.0002098276,0.0002869366,0.0002702652,0.0001707995,0.0003024102,0.0004441898,0.00009732009,0.000002902844],"category_scores_gemma":[0.00001212004,0.0001948729,0.00006073137,0.0004990265,0.00001621428,0.0003361408,0.0000829085,0.000231646,0.00006090914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001686743,"about_ca_system_score_gemma":0.0001573267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005816317,"about_ca_topic_score_gemma":0.000001738268,"domain_scores_codex":[0.9980093,0.000282477,0.0003002615,0.0006036288,0.0003419484,0.0004624002],"domain_scores_gemma":[0.9987212,0.000456519,0.0001425709,0.0005244614,0.00005241273,0.0001028249],"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":[0.00001383268,0.0001158608,0.0002595415,0.0001776388,0.0001135263,0.00005861157,0.0008718031,0.1611979,0.0003471451,0.242482,0.001527674,0.5928344],"study_design_scores_gemma":[0.0003880278,0.0002292401,0.001237284,0.00006157882,0.000008156907,0.0000421925,0.0000153801,0.9958856,0.00009822422,0.0005338124,0.001292262,0.0002082087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006467539,0.0001791639,0.9904592,0.0003547624,0.0009224365,0.0003562573,0.000001501762,0.00067437,0.0005847663],"genre_scores_gemma":[0.9690254,0.00001210946,0.03011065,0.0001750493,0.0003746627,0.00006185997,0.000010648,0.00002101241,0.0002086442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9625579,"threshold_uncertainty_score":0.7946686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469721420659402,"score_gpt":0.25804565950512,"score_spread":0.243348445298526,"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."}}