{"id":"W40989923","doi":"10.1007/3-540-45108-0_71","title":"A Cognitive Model for Automatic Narrative Summarization in a Self-Educational System","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Automatic summarization; Computer science; Reuse; Narrative; Field (mathematics); Generator (circuit theory); Artificial intelligence; Linguistics; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006776124,0.0004128939,0.0004670082,0.0009002727,0.0002198327,0.000341691,0.001563704,0.0002715589,0.000008436348],"category_scores_gemma":[0.00007711178,0.0004127394,0.00009445732,0.0005067151,0.0001686485,0.0006553687,0.0003225064,0.0004169631,0.00001220782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007722179,"about_ca_system_score_gemma":0.001638917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001535929,"about_ca_topic_score_gemma":0.0001265768,"domain_scores_codex":[0.9967716,0.00004137115,0.0006214111,0.001383263,0.0006754423,0.0005068571],"domain_scores_gemma":[0.9979969,0.0007122791,0.0002659524,0.0006142333,0.0003042624,0.0001063493],"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":[0.000008940723,0.00007090646,0.0000439084,0.0002231099,0.00001784095,0.00001337898,0.02086657,0.5877407,0.000008114431,0.1042094,0.000005965574,0.2867912],"study_design_scores_gemma":[0.0003280964,0.00004557709,0.00002710788,0.0009234404,0.000006975315,0.00002154586,0.000001752044,0.8506528,0.00002300373,0.1476032,0.000009151538,0.0003574638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004657371,0.000148314,0.995635,0.0005016024,0.0005968312,0.001107078,0.00001126035,0.0001896843,0.001344431],"genre_scores_gemma":[0.4671346,0.000006977517,0.531957,0.0004034181,0.0001929113,0.0001002899,0.00001529679,0.00002462486,0.0001648714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4666688,"threshold_uncertainty_score":0.9998325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123941014315727,"score_gpt":0.2613588401457524,"score_spread":0.2401194300025951,"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."}}