{"id":"W2398210540","doi":"","title":"AutoSummENG and MeMoG in Evaluating Guided Summaries.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Preprocessor; Point (geometry); Artificial intelligence; Data mining; Information retrieval; Data science; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005267464,0.001344496,0.001139356,0.005150988,0.0008297944,0.001810638,0.001396428,0.002054191,0.004946204],"category_scores_gemma":[0.0271874,0.0002651067,0.0005150494,0.003264326,0.000591628,0.003486074,0.001801515,0.000998468,0.002276008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007943166,"about_ca_system_score_gemma":0.001122105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002658865,"about_ca_topic_score_gemma":0.008126496,"domain_scores_codex":[0.9939823,0.0034457,0.0003930125,0.000586777,0.001396538,0.0001956898],"domain_scores_gemma":[0.985233,0.01024382,0.0007859112,0.001796715,0.001534755,0.0004058067],"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":[0.003016779,0.0004020706,0.006369248,0.001953537,0.0006322747,0.0002318479,0.0004547409,0.0228731,0.01055033,0.00559743,0.04388236,0.9040363],"study_design_scores_gemma":[0.001012299,0.004879189,0.02217517,0.0005285527,0.0007911383,0.001808041,0.002043346,0.7370158,0.06511996,0.06389555,0.1003666,0.0003644154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3765467,0.04027855,0.4818411,0.002946371,0.002062555,0.001685041,0.01638944,0.04646789,0.03178238],"genre_scores_gemma":[0.6539653,0.001926666,0.3152736,0.0006200732,0.0004576255,0.000650299,0.01582447,0.001171115,0.01011084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005267464,"threshold_uncertainty_score":0.02785736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994023171705832,"score_gpt":0.3074024575756885,"score_spread":0.2774622258586301,"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."}}