{"id":"W64917140","doi":"10.1137/1.9781611972757.64","title":"Building Decision Trees on Records Linked through Key References","year":2005,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Key (lock); XML; Table (database); Decision tree; Table of contents; Information retrieval; Classifier (UML); Relational database; Tree (set theory); Data mining; Artificial intelligence; World Wide Web; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002486902,0.0009770637,0.0016442,0.00288414,0.001080478,0.001647276,0.002246698,0.001607312,0.001671212],"category_scores_gemma":[0.01247982,0.0006419735,0.00128314,0.003527231,0.0005305315,0.004335944,0.001461501,0.001320594,0.001317053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005760739,"about_ca_system_score_gemma":0.0009929328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630341,"about_ca_topic_score_gemma":0.004287294,"domain_scores_codex":[0.9981451,0.0003772989,0.0002161694,0.0005205543,0.0005287342,0.0002121167],"domain_scores_gemma":[0.9934569,0.004338595,0.000455837,0.0005429391,0.001006101,0.0001997127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006148624,0.0003904323,0.01559841,0.0004977591,0.0002478938,0.0009378255,0.0006530888,0.2550835,0.006435621,0.01077265,0.01214248,0.6966255],"study_design_scores_gemma":[0.00003269958,0.0001710804,0.001452545,0.00006972624,0.0001018273,0.0001511444,0.0001886791,0.9552205,0.005895812,0.03239739,0.004290575,0.00002799008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09824183,0.001116907,0.8936827,0.0007774032,0.0001628586,0.0003003082,0.00187135,0.002475124,0.001371496],"genre_scores_gemma":[0.3439741,0.001095911,0.6422955,0.0003426809,0.0003501734,0.0003643518,0.008496298,0.0001488206,0.002932028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003630341,"threshold_uncertainty_score":0.01315212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04288259887349749,"score_gpt":0.3023724823271765,"score_spread":0.259489883453679,"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."}}