{"id":"W2945699119","doi":"10.1109/infoteh.2019.8717655","title":"Automatic Text Summarization of News Articles in Serbian Language","year":2019,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Automatic summarization; Computer science; Text graph; Multi-document summarization; Information retrieval; Natural language processing; Reading (process); Graph; Process (computing); Serbian; Artificial intelligence; World Wide Web; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290127,0.001162918,0.0009729563,0.006670179,0.0007813471,0.001494925,0.0005509444,0.0004434971,0.001870343],"category_scores_gemma":[0.004249824,0.0002354337,0.0005723875,0.002823302,0.0001897697,0.0009569283,0.0005070069,0.0005581976,0.002072265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674314,"about_ca_system_score_gemma":0.0006550545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003417058,"about_ca_topic_score_gemma":0.008126434,"domain_scores_codex":[0.9990842,0.0003248434,0.0001105766,0.0001875206,0.0002161799,0.00007669059],"domain_scores_gemma":[0.9965419,0.001281654,0.0004617823,0.000261173,0.001319509,0.0001340242],"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":[0.001676828,0.0007721073,0.01496261,0.003564888,0.0003343295,0.001230683,0.002198159,0.01041391,0.1013883,0.001042127,0.05472231,0.8076938],"study_design_scores_gemma":[0.000637905,0.003794741,0.2228747,0.0008283652,0.001205434,0.002153077,0.01037526,0.3219312,0.178367,0.004469337,0.2530752,0.0002878811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332753,0.01217375,0.09054679,0.001071731,0.0008604339,0.001372396,0.03187438,0.01587096,0.01295431],"genre_scores_gemma":[0.621347,0.003611232,0.2302669,0.000201287,0.0007167127,0.0008383784,0.1289486,0.0006311489,0.01343883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006670179,"threshold_uncertainty_score":0.006822944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049571649063027,"score_gpt":0.2305994945684212,"score_spread":0.2201037780777909,"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."}}