{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00217265,0.001232258,0.001146441,0.001137298,0.0004984862,0.001349707,0.001274608,0.001081476,0.003256015],"category_scores_gemma":[0.00413401,0.0005090277,0.0007597621,0.001223097,0.0004345253,0.001831298,0.0009763885,0.001045762,0.0008958115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008633758,"about_ca_system_score_gemma":0.001064584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003548143,"about_ca_topic_score_gemma":0.005224411,"domain_scores_codex":[0.9991536,0.0003420493,0.00006003442,0.0001865109,0.0001940134,0.00006378429],"domain_scores_gemma":[0.9989381,0.0005877392,0.0001193317,0.00009423272,0.0002101815,0.00005035839],"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":[0.0001965782,0.0001395667,0.0006206795,0.0002827355,0.0001174755,0.0001451542,0.0003687566,0.6634222,0.007566009,0.02467866,0.01125809,0.2912041],"study_design_scores_gemma":[0.00002316179,0.0000701641,0.0001655328,0.0000129062,0.00003045037,0.0000426793,0.00003354706,0.9864811,0.0012568,0.00868581,0.003185449,0.00001232302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005397321,0.0004359905,0.9917343,0.0002483091,0.00002129859,0.00007573001,0.000131363,0.000798896,0.001156901],"genre_scores_gemma":[0.2182679,0.0006842247,0.7731851,0.0002136928,0.0002040271,0.0004264148,0.0009757554,0.0004756363,0.005567316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003548143,"threshold_uncertainty_score":0.01149023,"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."}}