{"id":"W1972495172","doi":"10.1145/2723372.2723725","title":"TEGRA","year":2015,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information retrieval; Row; Table (database); Relational database; Schema (genetic algorithms); World Wide Web; Data mining; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001181607,0.00002244298,0.00003221582,0.00002662053,0.00001247838,0.00006447211,0.0003508708,0.000007729604,0.00001124004],"category_scores_gemma":[0.00002171598,0.00001578906,0.00001360657,0.0001672697,0.00000503926,0.0001850491,0.00008672709,0.00001691835,0.0004681987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004261344,"about_ca_system_score_gemma":0.00002274285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005067269,"about_ca_topic_score_gemma":0.00000395906,"domain_scores_codex":[0.9997216,0.000008058665,0.00003571447,0.0000897749,0.00008457583,0.00006027089],"domain_scores_gemma":[0.9996362,0.00000719293,0.000007269954,0.0002649324,0.00002123388,0.00006313045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.843197e-7,0.00004253317,0.003927458,9.882434e-7,0.00001902175,0.00001862197,0.0005953561,0.00004687567,0.0001177846,0.4050894,0.3886074,0.2015339],"study_design_scores_gemma":[0.0004840447,0.0001003566,0.001501801,0.000005889883,0.00001093384,0.00002485533,0.0003487799,0.3468917,0.002535295,0.01873536,0.6290069,0.0003541325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003046207,0.0000210777,0.8709035,0.001354074,0.00007446687,0.000005884822,2.60153e-7,0.0001505161,0.124444],"genre_scores_gemma":[0.803246,8.004026e-7,0.1876387,0.0005232495,0.00003767908,8.703718e-7,0.000001627288,0.000001352695,0.008549749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8001997,"threshold_uncertainty_score":0.6017903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05405638443133703,"score_gpt":0.2543020114080482,"score_spread":0.2002456269767112,"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."}}