{"id":"W7015767590","doi":"","title":"TESA: A task in entity semantic aggregation for abstractive automatic summarization","year":2021,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Task (project management); Automatic summarization; Semantics (computer science); Feature (linguistics); Semantic feature","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":[0.002955144,0.002839073,0.002147732,0.004578804,0.002802194,0.003897634,0.00190088,0.002274683,0.02078843],"category_scores_gemma":[0.009735985,0.001058144,0.002460927,0.003676664,0.0005334413,0.005037834,0.003077691,0.002665064,0.01708372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008866501,"about_ca_system_score_gemma":0.001949129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00533257,"about_ca_topic_score_gemma":0.009155345,"domain_scores_codex":[0.9977403,0.000702741,0.0002531784,0.0007208437,0.0004252729,0.0001576327],"domain_scores_gemma":[0.9946278,0.002944255,0.0002547823,0.0007358855,0.001150522,0.0002868665],"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":[0.0008272569,0.0003656345,0.001781967,0.0009974204,0.0003149902,0.0003615831,0.0009989073,0.006190612,0.02306994,0.009011175,0.2581562,0.6979243],"study_design_scores_gemma":[0.0005038736,0.0006250467,0.006477783,0.0002572314,0.0006305827,0.0006206271,0.002504481,0.6075808,0.06617033,0.05656443,0.2578436,0.0002212585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02825678,0.001534083,0.8321829,0.001810343,0.0009448581,0.0009373819,0.02152036,0.1046765,0.008136762],"genre_scores_gemma":[0.08391488,0.0005846429,0.8386629,0.0003172588,0.0004576928,0.0008367238,0.05666716,0.005430605,0.01312818],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02078843,"threshold_uncertainty_score":0.06954426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165575354271419,"score_gpt":0.2519691149439467,"score_spread":0.2354115795168048,"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."}}