{"id":"W4387967031","doi":"","title":"A Cosine Maximization-Minimization approach for UserOriented Multi-Document Update Summarization","year":2007,"lang":"en","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Automatic summarization; Computer science; Minification; Maximization; Information retrieval; Programming language; Mathematical optimization; Mathematics","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":[0.003167468,0.001081158,0.001362412,0.002246279,0.0007079604,0.001267659,0.001548623,0.0008308047,0.00208372],"category_scores_gemma":[0.005579597,0.000474256,0.0008694233,0.002094662,0.0004665982,0.001892954,0.001025603,0.001143839,0.001665713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006331094,"about_ca_system_score_gemma":0.0006763232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435694,"about_ca_topic_score_gemma":0.002228197,"domain_scores_codex":[0.9973243,0.0008385835,0.000289448,0.0005018892,0.0009711179,0.00007451292],"domain_scores_gemma":[0.9972371,0.000971641,0.000263343,0.0003513273,0.001090501,0.00008605734],"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":[0.0004175605,0.0002043248,0.0009864941,0.0005348826,0.0001921743,0.0001134821,0.0004437554,0.01919931,0.07636648,0.009780684,0.009167673,0.8825931],"study_design_scores_gemma":[0.0001059386,0.0005358369,0.002731501,0.00004904772,0.0002301959,0.0005298912,0.000213609,0.8383626,0.1070477,0.01413516,0.03591593,0.0001426708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003814575,0.0003880678,0.9937744,0.00008997287,0.00003374871,0.00009384669,0.00009409449,0.001197861,0.0005133838],"genre_scores_gemma":[0.0533002,0.0002759994,0.9425086,0.00008007909,0.0001378409,0.0002009149,0.000638925,0.0003482331,0.002509196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003167468,"threshold_uncertainty_score":0.01675135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868858414144558,"score_gpt":0.255964727084503,"score_spread":0.2372761429430574,"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."}}