{"id":"W1660606671","doi":"","title":"Summarize What You Are Interested In: An Optimization Framework for Interactive Personalized Summarization","year":2011,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Automatic summarization; Personalization; Computer science; Consistency (knowledge bases); Preference; Information retrieval; Multi-document summarization; Personalized search; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001979008,0.0001382283,0.0001668532,0.0001682884,0.00005786665,0.000329721,0.0005487276,0.0001247475,0.00009928254],"category_scores_gemma":[0.0001574804,0.0001324759,0.00004893935,0.0002700724,0.00002463997,0.003616247,0.0001379801,0.0001365967,0.000004330392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007828594,"about_ca_system_score_gemma":0.00003416081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005685744,"about_ca_topic_score_gemma":0.0001184127,"domain_scores_codex":[0.9988325,0.00008582784,0.0002713216,0.0004599924,0.0001327002,0.0002176975],"domain_scores_gemma":[0.9990504,0.0001196332,0.0001434893,0.0004252843,0.0001892648,0.00007194452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004388517,0.0006452555,0.0266664,0.00007694701,0.0000613992,0.00001595601,0.04974268,0.02641527,0.0001457124,0.804345,0.00006485962,0.09138172],"study_design_scores_gemma":[0.0004544824,0.0000826489,0.000936856,0.0001565061,0.000004688697,0.000001551584,0.001927279,0.9774677,0.0003754344,0.01837311,0.00003645464,0.0001833002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009256383,0.0000298449,0.9889348,0.000354849,0.0006000287,0.0003808704,0.000001191676,0.0001543177,0.0002876771],"genre_scores_gemma":[0.3586622,0.00001764568,0.6406692,0.0004206061,0.00004175779,0.00004825264,0.00001630663,0.00001204791,0.000111925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9510524,"threshold_uncertainty_score":0.540221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07522027830310149,"score_gpt":0.2988977232925085,"score_spread":0.223677444989407,"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."}}