{"id":"W2398387993","doi":"","title":"CLASSY 2011 at TAC: Guided and Multi-lingual Summaries and Evaluation Metrics.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.00104608,0.0001077656,0.000165271,0.0001608317,0.0002089679,0.00003654369,0.00023047,0.00005215218,0.00001831232],"category_scores_gemma":[0.0000994167,0.00009607228,0.00001928612,0.0002489443,0.0004409464,0.0003775311,0.0002861502,0.00005176086,0.000002634521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001432311,"about_ca_system_score_gemma":0.00002448178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003331351,"about_ca_topic_score_gemma":0.00002185844,"domain_scores_codex":[0.9991679,0.00009982639,0.0002179103,0.0002755738,0.0001347372,0.0001040656],"domain_scores_gemma":[0.9989671,0.0002304541,0.0001540805,0.0003820125,0.0002155826,0.00005082064],"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":[0.00001523896,0.00003082849,0.001175733,0.00001458009,0.00002109278,1.400022e-7,0.001436233,8.77321e-7,0.0009357852,0.8873763,0.00003915108,0.108954],"study_design_scores_gemma":[0.0002556317,0.00004550294,0.004524725,0.000004268662,0.00008796801,0.000009244351,0.0003493918,0.002041736,0.06745026,0.923468,0.001588362,0.0001749448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1002366,0.003671511,0.8939388,0.00006106684,0.00001309253,0.0004032171,0.000006197003,0.0001162711,0.001553172],"genre_scores_gemma":[0.9219581,0.0004556336,0.07715297,0.00002639844,0.0000118145,0.0001343065,0.000008275831,0.000005897666,0.0002466089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8217215,"threshold_uncertainty_score":0.3917714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780621551233317,"score_gpt":0.324504377454933,"score_spread":0.2766981619425999,"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."}}