{"id":"W136188959","doi":"","title":"CLASSY and TAC 2008 Metrics.","year":2008,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Information retrieval","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":[0.0002329802,0.00005333458,0.00008787296,0.00007006864,0.0001518529,0.00001700903,0.0002112673,0.00002646078,0.000003880312],"category_scores_gemma":[0.00002281151,0.00004782328,0.00001145584,0.0002362131,0.0001949347,0.0001694117,0.0001061036,0.0000436571,0.000003128458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003091469,"about_ca_system_score_gemma":0.00002225561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008631497,"about_ca_topic_score_gemma":5.883631e-7,"domain_scores_codex":[0.999562,0.00002808025,0.0001129714,0.00015227,0.00006984363,0.00007479238],"domain_scores_gemma":[0.9994166,0.0001636341,0.00004570289,0.0002910923,0.00004570816,0.00003719036],"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":[0.00000200006,0.0000100789,0.0002953082,0.00000756798,0.000003804217,2.550766e-7,0.0004285236,0.000005552443,0.0001465023,0.9713584,0.00004844616,0.02769358],"study_design_scores_gemma":[0.0001647371,0.00002498314,0.001597185,0.000002831688,0.000008595503,0.00004918987,0.000196308,0.00152456,0.005516897,0.9745613,0.0162238,0.0001295763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04722654,0.00188317,0.947143,0.000200596,0.00001626703,0.0001049324,0.000001594006,0.00004443251,0.003379509],"genre_scores_gemma":[0.9871781,0.0003811287,0.01187954,0.00005165733,0.00002623666,0.00003350769,9.502953e-7,0.000002590516,0.0004462265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9399516,"threshold_uncertainty_score":0.1950177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653003757341318,"score_gpt":0.2413698430885062,"score_spread":0.224839805515093,"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."}}