{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008523943,0.00006701954,0.000100332,0.00007814175,0.00007830567,0.00003122713,0.0002750289,0.00003570405,0.000005481524],"category_scores_gemma":[0.00007357224,0.00005796769,0.000008439783,0.0002158973,0.0001860705,0.0002737203,0.0001689339,0.00006649575,5.158263e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000571418,"about_ca_system_score_gemma":0.00002671207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004365304,"about_ca_topic_score_gemma":0.00000559816,"domain_scores_codex":[0.9994565,0.0000615872,0.000161708,0.0001642261,0.00006709457,0.00008885062],"domain_scores_gemma":[0.9994614,0.0001379815,0.00007580924,0.0002424952,0.00005909911,0.00002324667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005770622,0.00001089712,0.0003161862,0.00002334785,0.000002317386,2.375718e-7,0.002142686,1.438661e-7,0.00103615,0.9111865,0.000007340599,0.08526843],"study_design_scores_gemma":[0.00007964401,0.00002112196,0.0004565081,0.00001216763,0.000004501334,0.000005083805,0.0002079759,0.0001945073,0.03970433,0.9591301,0.0001132599,0.00007078009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06720078,0.00868264,0.9182502,0.0001863538,0.00002084045,0.0004402983,0.000003321231,0.0002866982,0.004928857],"genre_scores_gemma":[0.8320649,0.00004469392,0.1677053,0.00004033148,0.000007812792,0.00007471118,0.000001367811,0.000003276675,0.00005756491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7648641,"threshold_uncertainty_score":0.2363854,"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."}}