{"id":"W2125028118","doi":"","title":"AUEB at TAC 2008","year":2008,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; String (physics); Rank (graph theory); Natural language processing; Artificial intelligence; Support vector machine; Similarity (geometry); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005414136,0.0008906879,0.0008725675,0.001245396,0.002158231,0.004391448,0.001627732,0.001284865,0.09976361],"category_scores_gemma":[0.005613234,0.000287665,0.0003695844,0.0007892513,0.0004345988,0.002232028,0.002280448,0.001965831,0.05931741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077133,"about_ca_system_score_gemma":0.00242935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048626,"about_ca_topic_score_gemma":0.01843769,"domain_scores_codex":[0.9976064,0.000612753,0.00004394479,0.0004437289,0.0007768213,0.0005162591],"domain_scores_gemma":[0.9959578,0.0003176002,0.00007537402,0.0004836672,0.001649373,0.001516184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007905123,0.0005647503,0.001254181,0.00007997433,0.00002459051,0.0003548696,0.000390701,0.0009790944,0.00461582,0.005881605,0.8681026,0.1169614],"study_design_scores_gemma":[0.0002148737,0.0002718681,0.002742429,0.00004876135,0.00001703371,0.0001587826,0.0003893644,0.008729195,0.002900178,0.004523709,0.9799703,0.00003341604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1184812,0.006035041,0.1209885,0.03922854,0.0260927,0.002597964,0.05610132,0.04245382,0.5880209],"genre_scores_gemma":[0.2007872,0.0008499105,0.07657166,0.003563384,0.002623509,0.001077295,0.07417008,0.005527376,0.6348296],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9002364,"threshold_uncertainty_score":0.3337425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139333462868056,"score_gpt":0.2347853738435048,"score_spread":0.2208520275566992,"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."}}