{"id":"W2060686","doi":"10.63317/47puorupsub8","title":"Automatic Summarization Using Terminological and Semantic Resources","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Automatic summarization; Computer science; Natural language processing; Information retrieval; Artificial intelligence","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":[0.002231883,0.001313319,0.001234192,0.007419788,0.0007786237,0.00199,0.001193977,0.0008423128,0.002155805],"category_scores_gemma":[0.007826054,0.0004488664,0.00104923,0.003707237,0.0004188122,0.003704944,0.0007958793,0.0009097439,0.002003347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000690306,"about_ca_system_score_gemma":0.0007885033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009222443,"about_ca_topic_score_gemma":0.001477478,"domain_scores_codex":[0.9980039,0.0006204105,0.000217972,0.0004145346,0.0006685405,0.00007474959],"domain_scores_gemma":[0.9959229,0.001726425,0.0005433653,0.0004650748,0.001270888,0.00007128489],"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":[0.000317521,0.0001381296,0.001819464,0.001210296,0.0002726586,0.0002781734,0.0006508827,0.01793729,0.05959615,0.01625062,0.01239567,0.8891331],"study_design_scores_gemma":[0.0001511952,0.0004778947,0.006933155,0.0004389518,0.0008857041,0.0008685611,0.001008755,0.6424044,0.1377361,0.09782881,0.1110145,0.0002519476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01183185,0.001278295,0.9782245,0.0002380278,0.00008194865,0.0001541353,0.001030801,0.005727614,0.001432794],"genre_scores_gemma":[0.08477559,0.001089387,0.9045154,0.00008085212,0.0002348932,0.000267283,0.006656971,0.0005722985,0.001807304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007419788,"threshold_uncertainty_score":0.01180345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04781014630795609,"score_gpt":0.2754713633292548,"score_spread":0.2276612170212987,"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."}}