{"id":"W4241069479","doi":"10.1145/773153.773166","title":"Concise descriptions of subsets of structured sets","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automatic summarization; Computer science; Online analytical processing; Set (abstract data type); XML; Context (archaeology); Theoretical computer science; String (physics); Hierarchy; Focus (optics); Cover (algebra); Representation (politics); Simple (philosophy); Data mining; Information retrieval; Data warehouse; Mathematics; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002605577,0.0006304375,0.001018304,0.002547158,0.0007512988,0.003412344,0.001713768,0.0009897212,0.003571367],"category_scores_gemma":[0.01303137,0.0007500327,0.00100702,0.003891028,0.001331397,0.008945045,0.002106548,0.001280655,0.0007024361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310542,"about_ca_system_score_gemma":0.0007744019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008945624,"about_ca_topic_score_gemma":0.001177144,"domain_scores_codex":[0.9966058,0.001090041,0.0004310313,0.0005427314,0.001104873,0.0002255469],"domain_scores_gemma":[0.9922416,0.004470982,0.0009957755,0.001274346,0.0007712399,0.0002460911],"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":[0.0001753293,0.00006016947,0.0009634765,0.0004907588,0.00006691904,0.000475861,0.001275461,0.06690529,0.00381287,0.8266545,0.006538678,0.09258064],"study_design_scores_gemma":[0.00004002015,0.0001099259,0.0003536952,0.0001180909,0.00005725753,0.0004387758,0.0006056181,0.1973151,0.004371336,0.7626164,0.0339327,0.00004109375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05906539,0.001610156,0.929227,0.001152181,0.00007774094,0.0001419773,0.001978199,0.0006079565,0.006139413],"genre_scores_gemma":[0.4492672,0.001621784,0.5355858,0.0003319222,0.0002204601,0.0004904038,0.005307973,0.0003012457,0.006873251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003571367,"threshold_uncertainty_score":0.01377976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193593033298114,"score_gpt":0.2505560855886307,"score_spread":0.2311967822588193,"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."}}